Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Managing Consultant, Performance Analytics Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members’ roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience coaching and managing teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS), building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI) Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-238505 Show more Show less

Python Senior Developer Must have 5+ years of experience in Python programming. Extensive experience in handling complex projects. Good leadership skills and ability to lead projects independently. Good communication and teamwork skills. Good analytical skills and proficiency in Web based development technologies. Expertise in Agile development methodology. Strong problem-solving skills. Strong knowledge in Design patterns, Security, Performance tuning and App monitoring. Experience in API Design, security patterns, Microservices architecture. Must have experience in building scalable, low latency based web application using Flask, FastAPI or similar. Experience in building python-based SDKs. Experience in python based ORM (Object Relational Mapper) frameworks. Knowledge in distributed in-memory systems such as Redis, MemCache, GemFire or similar. Knowledge in SQL database and no-SQL database. Understanding on building Production grade application using WSGI/ASGI frameworks such as Gunicorn, Uvicorn etc. Experience of Jenkins, CICD pipeline, Logging framework, Splunk, ELK stack is good to have. Knowledge and experience with virtualization and cloud platforms (Kubernetes, AWS, OpenShift, Docker Containers) Familiarity with version control system such as Git. Knowledge on developing test suites, application debugging skills. Good To Have Understanding on front-end technologies including JavaScript, HTML5, Angular. Understanding on Event-driven programming using Python. Knowledge of Generative AI technologies, LLMs, Embeddings, building RAG based solutions. Understanding on HDFS, Hive, Impala, PySpark and other components of BigData systems. Show more Show less

Organization Summary A career within Operations Consulting services, will provide you with the opportunity to help our clients optimize all elements of their operations to move beyond the role of a cost-effective business enabler and become a source of competitive advantages. We focus on product innovation and development, supply chain, procurement and sourcing, manufacturing operations, service operations and capital asset programs to drive both growth and profitability. In our Operations Transformation team, you’ll work with our clients to transform their enterprise processes by leveraging integrated supply and demand planning solutions to enhance their core transaction processing and reporting competencies, ultimately strengthening their ability to support management decision-making and corporate strategy. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be purpose-led and values-driven leaders at every level. To help us achieve this, we have the PwC Professional, our global leadership development framework. It gives us a single set of expectations across our lines, geographies, and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. We are seeking an experienced Senior Consultant with a strong technical background and extensive experience in implementing o9, Blue Yonder (BY), Kinaxis or SAP IBP solutions for planning. The ideal candidate will have completed multiple implementations and possess deep knowledge of these products and their technical architectures. This role focuses on the ability to translate business requirements to technical and architecture needs, and lead / support on the implementation journey. Key Responsibilities Drive a workstream while executing technical implementation of o9, BY, Kinaxis or SAP IBP solutions Collaborate with stakeholders to understand business requirements and translate them into technical specifications Develop materials to assist in design and process discussions with clients Conduct design discussions with client to align on key design decisions Support the design and architecture of the overall technology framework for implementations Develop testing strategies and test scenarios Identify gaps and develop custom design specifications Troubleshoot and resolve technical issues that arise during implementation Ensure best practices and quality standards are followed across the engagement delivery Conduct training sessions and knowledge transfer to internal teams and client teams Travel may be required for this role, depending on client requirements Education Degrees/Field of Study required: MBA / MTech or a Master's degree in a related field Certifications Certifications related to o9, Blue Yonder, SAP IBP, Kinaxis or other relevant technologies Required Skills Functional and technical expertise in o9, Blue Yonder, Kinaxis or SAP IBP, including reference model configurations and workflows Supply chain planning domain experience in demand planning, supply and inventory planning, production planning, S&OP, and IBP Optional Skills Advanced understanding of data models for o9, Blue Yonder, Kinaxis or SAP IBP Experience with other supply chain planning solutions Database: SQL, Python on HADOOP, R-Scripts MS SSIS integration skills, HADOOP HIVE Travel Requirements Yes Show more Show less

Organization Summary A career within Operations Consulting services, will provide you with the opportunity to help our clients optimize all elements of their operations to move beyond the role of a cost-effective business enabler and become a source of competitive advantages. We focus on product innovation and development, supply chain, procurement and sourcing, manufacturing operations, service operations and capital asset programs to drive both growth and profitability. In our Operations Transformation team, you’ll work with our clients to transform their enterprise processes by leveraging integrated supply and demand planning solutions to enhance their core transaction processing and reporting competencies, ultimately strengthening their ability to support management decision-making and corporate strategy. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be purpose-led and values-driven leaders at every level. To help us achieve this, we have the PwC Professional, our global leadership development framework. It gives us a single set of expectations across our lines, geographies, and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. We are seeking an experienced Planning Solutions Architect with a strong technical background and extensive experience in implementing solutions such as o9 / SAP IBP. The ideal candidate will have completed at least 5 to 6 implementations and possess deep knowledge of the product and technical architecture. This role focuses on the ability to lead o9 / SAP IBP transformations for clients across industries, being able to lead team of consultants and translate business requirements to technical and architecture needs and drive the implementation journey. Key Responsibilities Collaborate with stakeholders to understand business requirements and translate them into technical specifications Lead design and process discussions with clients Design and architect the overall technology framework for o9 / IBP implementations Lead the technical implementation of o9 / IBP solutions, including integrations with legacy systems, data warehouse, and end to end ERP Develop testing strategy and test scenarios Identify gaps and develop custom design specifications Provide technical guidance, troubleshooting and support throughout the implementation process Lead team through the implementation and hyper care process, actively coaching / mentoring junior consultants Conduct training sessions and knowledge transfer to internal teams and client teams Ensure best practices and quality standards are followed across the engagement delivery Lead client pursuit discussions and highlight experience and approach for o9/ IBP implementations across industries Mentor, guide and train a team of o9 / SAP IBP consultants Travel may be required for this role, depending on client requirements Education Degrees/Field of Study required: MBA / MTech or a Master's degree in a related field Certifications Certifications related to o9 / SAP IBP solutions or other relevant technologies Required Skills o9 / SAP IBP functional and technical expertise in Demand Planning, Supply Planning, Master Planning and Scheduling and IBP Supply chain planning domain experience Optional Skills Advanced understanding of o9 / SAP IBP data models Experience with other supply chain planning solutions Database: SQL, Python on HADOOP, R-Scripts MS SSIS integration skills, HADOOP HIVE Travel Requirements Yes Show more Show less

About Us Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow. MS Wealth Management (MSWM) Technology Morgan Stanley Wealth Management (MSWM) Technology is the global technology department responsible for the design, development, delivery and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management (MSWM) business. The department is comprised of 10 organizations: Sales, Banking & Corporate-Client Technology, Investment Products & Markets Technology, Client Reporting, Core Processing, Private and International Wealth Management Technology, Technology Integration Office, Enterprise Infrastructure & Production Management, Capital Markets Application & Data Services, Deployment Planning & Release Management, and the Chief Operating Office. The position is part of the Morgan Stanley Wealth Management, Field and Client Technology ? Advisor Solutions Technology group. There is a multi-year Platform Transformation Initiative, for which we are hiring resources that are going to help us to build applications which offer lot of new capabilities to our end users. These applications are built using new design, latest web standards with modern technologies and we need resources to support current platform for BAU activities and at the same to build the new platform. We are also expanding to offer some of the core capabilities in our mobile platform as well. We are putting lot of investment in architecture, design and some of the best practices in coding to ensure we deliver high quality products and want to make sure we retain the knowledge and experience. As we are investing a lot to build our future platform, it is important to invest on our resources that will have knowledgebase and experience. CRM-ETL-Developer at Morgan Stanley Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have a large number of award winning technology platforms that help to propel our Firm’s businesses to be the top in the market. Our India technology teams are based in Mumbai and Bengaluru. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge. Wealth Management business is one of the largest in the world with more than $2 trillion in client assets and nearly 16,000 Financial Advisors in 600+ offices across the U.S. Our Financial Advisors focus on delivering timely, customized solutions and services that help clients meet their financial and life goals. Our offering includes brokerage and investment advisory services, financial and wealth planning, access to credit and lending, cash management, annuities and insurance, and retirement services. Position Overview/ Role & Responsibilities STO under Wealth Management Technology provides consistent, trusted and integrated business information across all platforms and delivery channels within Morgan Stanley Wealth Management (MSWM) businesses. STO areas of expertise include but are not limited to Enterprise Data Warehouse (EDW) and Datalake (DL), cross-business-unit Information Management, Business Intelligence and more. STO team synthesizes and provisions a multitude of business-critical metrics and underlying detailed information in all Core areas of MSWM. Examples of essential data domains and metrics include Assets, Revenue, Account Demographics, Financial Advisor (FA) information, Securities and Cash Transactions, and so on. As an integral part of STO, CRM team is tasked with providing CRM capabilities, Lead management, Contact Mgmt, Campaign mgmt and many other aspects of Wealth Management business. The candidate may be assigned to a single project or several projects. The role requires credibility, confidence and active participation with leadership teams, business units and technology groups across the project lifecycle. Specific assignments will depend on the size and complexity of the project. We are seeking an ETL Developer with a minimum of 5-8 years of work experience in designing, developing, testing and deployment of ETL pipelines. Also, developer should have to work on Hadoop, Snowflake. The developer will work with the distributed team and will be responsible for designing and implementing end to end solutions and integrate with the in-house platform and infrastructure. We are looking for a passionate hands-on programmer who is willing ot spend most of the time in code and delivering quality code by working closely with development leads and architecture teams in understanding and designing the solution. The candidate should be able to work collaboratively in a global setting and should be a go to person for troubleshooting any issues that may arise. Required Experience: Primary Skills / Must have 4-9 years of experience as an ETL/Informatica/IICS/IDMC/SQL Developer Hands on experience and in-depth knowledge with the various transformations in Informatica or other similar ETL tool. Big data technologies such as Hadoop, Hive, Snowflake, Spark. Strong SQL programming and stored procedure development skills. Relational database experience (experience with cloud is a big plus). Strong UNIX Shell scripting experience to support data warehousing solutions. Integration experience with Salesforce. Process oriented, focused on standardization, streamlining, and implementation of best practices delivery approach. Excellent problem solving and analytical skills. Excellent verbal and written communication skills. Experience in optimizing large data loads. Ability to prioritize, be flexible and handle multiple projects with varying deadlines in a multi-task environment. Good-to-have/ Desired Skills: Participate in requirements analysis Understanding of Agile methodologies Experience in Wealth Management or a similar Financial environment Experience in working with Data teams to load and export large volume of data to and from Salesforce. Knowledge of Salesforce suite of products for integrations with other applications. Knowledge on security patterns and practices. Familiarity with Agile Methodology. Collaborate with internal teams to produce software design and architecture Test and deploy applications and systems with various teams Revise, update, refactor and debug code to improve existing software Develop documentation throughout the software development life cycle Serve as an expert on the application and provide technical support Willing to take up challenges and learn new technologies What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Job Description Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract, transform, and load large volumes of structured and unstructured data from diverse sources. Implement data ingestion, processing, and storage solutions on GCP cloud platform, leveraging services. Develop and maintain data models, schemas, and metadata to support efficient data access, query performance, and analytics requirements. Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for scalability, reliability, and cost-effectiveness. Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance. Requirement Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines using PySpark, Scala, and Apache Spark. Hands-on experience with cloud platforms, particularly GCP, and proficiency in GCP services. Strong programming skills in Python and Scala, with experience in software development, version control, and CI/CD practices. Familiarity with data warehousing concepts, dimensional modeling, and relational databases (e.g., SQL Server, PostgreSQL, MySQL). Experience with big data technologies and frameworks (e.g., Hadoop, Hive, HBase) is a plus. Mandatory Skill Sets GCP, Pyspark, Spark Preferred Skill Sets GCP, Pyspark, Spark Years Of Experience Required 4 - 8 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills PySpark, Spark SQL Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 18 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Entity: Technology Job Family Group: IT&S Group Job Description: You will work with Being part of a digital delivery data group supporting bp Solutions, you will apply your domain knowledge and familiarity with domain data processes to support the organisation. Part of bp’s Production & Operations business, bp Solutions has hubs in London, Pune, and Houston. The data team provides daily operational data management, data engineering and analytics support to this organisation across a broad range of activity from facilities and subsea engineering to logistics. Let me tell you about the role A data analyst collects, processes, and performs analyses on a variety of datasets. Their key responsibilities include interpreting complex data sets to identify trends and patterns, using analytical tools and methods to generate actionable insights, and creating visualizations and reports to communicate those insights and recommendations to support decision-making. Data analysts collaborate closely with business domain stakeholders to understand their data analysis needs, ensure data accuracy, write and recommend data-driven solutions and solve value impacting business problems. You might be a good fit for this role if you: have strong domain knowledge in at least one of; facilities or subsea engineering, maintenance and reliability, operations, logistics. Strong analytical skills and demonstrable capability in applying analytical techniques and Python scripting to solve practical problems. are curious, and keen to apply new technologies, trends & methods to improve existing standards and the capabilities of the Subsurface community. are well organized and self-motivated, you balance proactive and reactive approaches and across multiple priorities to complete tasks on time. apply judgment and common sense – you use insight and good judgment to inform actions and respond to situations as they arise. What you will deliver Be a bridge between asset teams and Technology, combining in-depth understanding of one or more relevant domains with data & analytics skills Provide actionable, data-driven insights by combining deep statistical skills, data manipulation capabilities and business insight. Proactively identify impactful opportunities and autonomously complete data analysis. You apply existing data & analytics strategies relevant to your immediate scope. Clean, pre-process and analyse both structured and unstructured data Develop data visualisations to analyse and interrogate broad datasets (e.g. with tools such as Microsoft PowerBI, Spotfire or similar). Present results to peers and senior management, influencing decision making What you will need to be successful (experience and qualifications) Essential MSc or equivalent experience in a quantitative field, preferably statistics. have strong domain knowledge in at least one of; facilities or subsea engineering, maintenance and reliability, operations, logistics. Hands-on experience carrying out data analytics, data mining and product analytics in complex, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches. Advanced SQL knowledge. Advanced scripting experience in R or python. Ability to write and maintain moderately complex data pipelines. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Excellent communication and interpersonal skills, with the ability to effectively communicate ideas, expectations, and feedback to team members, stakeholders, and customers. Foster collaboration and teamwork Desired Advanced analytics degree. Experience applying analytics to support engineering turnarounds Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. About Bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

Entity: Technology Job Family Group: IT&S Group Job Description: You will work with You will be part of the P&O data group, you will apply your domain knowledge and familiarity with domain data processes to support the P&O organisation and HSE teams. The team provides daily operational data management, data engineering and analytics support to this organisation across a broad range of disciplines and applications. Specifically within the HSE area this includes: safety, health and environment, risk management, incident reporting, compliance and emissions reporting. Let me tell you about the role A data analyst collects, processes, and performs analyses on a variety of datasets. Their key responsibilities include interpreting complex data sets to identify trends and patterns, using analytical tools and methods to generate actionable insights, and crafting visualizations and reports to communicate those insights and recommendations to support decision-making. Data analysts collaborate closely with business domain collaborators to understand their data analysis needs, ensure data accuracy, write and recommend data-driven solutions and begin value impacting business problems. What you will deliver Have an understanding of applying analytics in one or more key areas within the health, safety and environment domain e.g. causal analysis, predictive analytics etc. Provide actionable, data-driven insights by combining deep statistical skills, data manipulation capabilities and business insight. Proactively identify impactful opportunities and complete data analysis. Clean, pre-process and analyse both structured and unstructured data Develop data visualisations to analyse and interrogate broad datasets (e.g. with tools such as Microsoft PowerBI, Spotfire or similar). What you will need to be successful (experience and qualifications) Essential Bachelor’s degree or equivalent experience in a quantitative field, preferably statistics. Experience working within safety, health, environmental or risk management & reporting domains including root cause analysis, causal analysis and predictive analytics. Hands-on experience carrying out data analytics, data mining and product analytics in sophisticated, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches. Ability to use SQL to write queries. Scripting experience in R or python. Ability to write and maintain data pipelines. Customer-centric and pragmatic attitude. Focus on value delivery and swift execution, while maintaining attention to detail. Good communication and social skills, with the ability to effectively communicate ideas, expectations, and feedback to team members, collaborators, and customers. Cultivate collaboration and partnership Desired Advanced analytics degree NEBOSH qualification Experience with Data technologies (e.g. Hadoop, Hive, and Spark) is a plus. About Bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. You Lead the Way. We’ve Got Your Back. At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. BU & LOB Description Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure. Do you want to be part of a transformational journey at American Express, to realize the potential of our data assets to power the world’s best customer experience? The Risk Data team within Risk Products & Data strategy develops and maintains risk data to cater to strategies for Anti-Money Laundering(AML) in addition to managing the structured Risk Data from internal as well as external sources. The team is responsible for applying data engineering principles to data requirements with a strong focus on data governance and data quality. We lead the transformation of critical risk data process on the legacy platforms to modern platforms and integrate them into risk systems. Our team collaborates with internal capabilities stakeholders like Data Architects, Business Architects and partners to decide on the right data design/model We are looking for a strategic, experienced individual for the role of Manager, responsible for partnering across business units, enterprise technology teams, and product/platform teams. Develops deep understanding of business logic, intent and long term objectives to align priorities and develop long life solutions. Role & Responsibilities The Manager in this position will have Anti-Money Laundering(AML) data ownership and governance. The incumbent would be leading a team of 3-4 data analysts and partner closely with credit strategy and compliance teams in building best in class data assets to cater for production use cases and analytical needs, while maintaining strong data governance and quality control framework. The Candidate Will Be Responsible For End to end ownership of all data related to AML across platforms and processes Subject matter expert for the work stream he/she leads with in-depth knowledge of risk systems and processes. Thought leadership for the respective workstream he/she leads Ability to create a strategy and roadmap for the initiatives he/she is leading Responsible for ensuring data engineering principles are applied to each data requirement Risk data ownership for data used in our production use cases and analytics Define data quality controls (like detective, preventive, B&Cs) for batch and real time data & partners with tech teams for implementation Lead the transformation of critical risk data process on the POD platforms to Cornerstone and integrate them into risk systems Lead the development of capabilities to reduce manual operations and prevent operational risk Collaborate with internal capabilities stakeholders like Data Architects, Business Architects and partners to decide on the right data design/model Educate stakeholder community on the usage of risk data Reviewing and updating metadata and lineage standards and process guides published by the Enterprise Data Governance team Minimum Qualifications A successful candidate will have: The position needs to have in depth knowledge of Amex Credit Risk Systems 3-4 years of hands on experience working on large size Capability or Analytical projects Credit/Fraud risk management experience and understanding of credit lifecycle is preferred Advanced Communicator Thought leadership and solution-oriented mindset Ability to think strategically and set POA direction Ability to build strong relationships in a cross-functional environment. Clear, effective written and oral communication skills Strong Analytical Skills Proficient in collaboration to drive results Deep understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) Preferred experience with Python, Hive, SQL, Hadoop Graduate degree in Computer Science, Mathematics, Statistics or Engineering Proven track record of driving results in a fast-paced environment often with significant ambiguity and needing to make decisions with less than perfect information. Benefits We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract, transform, and load large volumes of structured and unstructured data from diverse sources. Implement data ingestion, processing, and storage solutions on Azure cloud platform, leveraging services such as Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics. Develop and maintain data models, schemas, and metadata to support efficient data access, query performance, and analytics requirements. Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for scalability, reliability, and cost-effectiveness. Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance. Requirement Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines using PySpark, Scala, and Apache Spark. Hands-on experience with cloud platforms, particularly Azure, and proficiency in Azure services such as Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database. Strong programming skills in Python and Scala, with experience in software development, version control, and CI/CD practices. Familiarity with data warehousing concepts, dimensional modeling, and relational databases (e.g., SQL Server, PostgreSQL, MySQL). Experience with big data technologies and frameworks (e.g., Hadoop, Hive, HBase) is a plus. Mandatory skill sets: Spark, Pyspark, Azure Preferred skill sets: Spark, Pyspark, Azure Years of experience required: 4 - 8 Education qualification: B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark, Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract, transform, and load large volumes of structured and unstructured data from diverse sources. Implement data ingestion, processing, and storage solutions on GCP cloud platform, leveraging services. Develop and maintain data models, schemas, and metadata to support efficient data access, query performance, and analytics requirements. Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for scalability, reliability, and cost-effectiveness. Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance. Requirement Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines using PySpark, Scala, and Apache Spark. Hands-on experience with cloud platforms, particularly GCP, and proficiency in GCP services. Strong programming skills in Python and Scala, with experience in software development, version control, and CI/CD practices. Familiarity with data warehousing concepts, dimensional modeling, and relational databases (e.g., SQL Server, PostgreSQL, MySQL). Experience with big data technologies and frameworks (e.g., Hadoop, Hive, HBase) is a plus. Mandatory Skill Sets GCP, Pyspark, Spark Preferred Skill Sets GCP, Pyspark, Spark Years Of Experience Required 4 - 8 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Good Clinical Practice (GCP) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 12 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Type: Contract-to-Hire (C2H) Job Summary We are looking for a skilled PySpark Developer with MUST 4+ YEARS hands-on experience in building scalable data pipelines and processing large datasets. The ideal candidate will have deep expertise in Apache Spark, Python, and working with modern data engineering tools in cloud environments such as AWS. Key Skills & Responsibilities Strong expertise in PySpark and Apache Spark for batch and real-time data processing. Experience in designing and implementing ETL pipelines, including data ingestion, transformation, and validation. Proficiency in Python for scripting, automation, and building reusable components. Hands-on experience with scheduling tools like Airflow or Control-M to orchestrate workflows. Familiarity with AWS ecosystem, especially S3 and related file system operations. Strong understanding of Unix/Linux environments and Shell scripting. Experience with Hadoop, Hive, and platforms like Cloudera or Hortonworks. Ability to handle CDC (Change Data Capture) operations on large datasets. Experience in performance tuning, optimizing Spark jobs, and troubleshooting. Strong knowledge of data modeling, data validation, and writing unit test cases. Exposure to real-time and batch integration with downstream/upstream systems. Working knowledge of Jupyter Notebook, Zeppelin, or PyCharm for development and debugging. Understanding of Agile methodologies, with experience in CI/CD tools (e.g., Jenkins, Git). Preferred Skills Experience in building or integrating APIs for data provisioning. Exposure to ETL or reporting tools such as Informatica, Tableau, Jasper, or QlikView. Familiarity with AI/ML model development using PySpark in cloud environments.

About PhonePe Group: PhonePe is India’s leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! Job Overview: As a Site Reliability Engineer (SRE) specializing in DataPlatform OnPremise, you will play a critical role in deployment, ensuring the reliability, scalability, and performance of our Cloudera Data Platform (CDP) infrastructure. You will collaborate closely with cross-functional teams to design, implement, and maintain robust systems that support our data-driven initiatives. The ideal candidate will have a deep understanding of Data Platform, strong troubleshooting skills, and a proactive mindset towards automation and optimization.You will play a pivotal role in ensuring the smooth functioning, operation, performance and security of large high density Cloudera-based infrastructure. Roles and Responsibilities: Work on tasks related to implementation of Cloudera Data Platform Cloudera Data Platform on-premises and be a part of planning, installation, configuration, and integration with existing systems. Infrastructure Management: Manage and maintain the Cloudera-based infrastructure, ensuring optimal performance, high availability, and scalability. This includes monitoring system health, and performing routine maintenance tasks. Strong troubleshooting skills and operational expertise in areas such as system capacity, bottlenecks, memory, CPU, OS, storage, and networking. Creating Runbooks and automating them using scripting tools like Shell scripting, Python etc. Working knowledge with any of the configuration management tools like Terraform, Ansible or SALT Data Security and Compliance: Implement and enforce security best practices to safeguard data integrity and confidentiality within the Cloudera environment. Ensure compliance with relevant regulations and standards (e.g., GDPR, HIPAA, DPR). Performance Optimization: Continuously optimize the Cloudera infrastructure to enhance performance, efficiency, and cost-effectiveness. Identify and resolve bottlenecks, tune configurations, and implement best practices for resource utilization. Capacity Planning: Planning and performance tuning of Hadoop clusters, Monitor resource utilization trends and plan for future capacity needs. Proactively identify potential capacity constraints and propose solutions to address them. Collaborate effectively with infrastructure, network, database, application, and business intelligence teams to ensure high data quality and availability. Work closely with teams to optimize the overall performance of the PhonePe Hadoop ecosystem. Backup and Disaster Recovery: Implement robust backup and disaster recovery strategies to ensure data protection and business continuity. Test and maintain backup and recovery procedures regularly. Develop tools and services to enhance debuggability and supportability. Patches & Upgrades: Routinely apply recommended patches and perform rolling upgrades of the platform in accordance with the advisory from Cloudera, InfoSec and Compliance. Documentation and Knowledge Sharing: Create comprehensive documentation for configurations, processes, and procedures related to the Cloudera Data Platform. Share knowledge and best practices with team members to foster continuous learning and improvement. Collaboration and Communication: Collaborate effectively with cross-functional teams including data engineers, developers, and IT operations personnel. Communicate project status, issues, and resolutions clearly and promptly. Skills Required: Bachelor's degree in Computer Science, Engineering, or related field. Proficiency in Linux system administration, shell scripting, and networking concepts including IPtables, and IPsec. Strong understanding of networking, open-source technologies, and tools. 3-5 years of experience in the design, set up, and management of large-scale Hadoop clusters, ensuring high availability, fault tolerance, and performance optimization. Strong understanding of distributed computing principles and experience with Hadoop ecosystem technologies (HDFS, MapReduce, YARN, Hive, Spark, etc.). Experience with Kerberos and LDAP. Strong Knowledge of databases like Mysql,Nosql,Sql server Hands-on experience with configuration management tools (e.g., Salt,Ansible, Puppet, Chef). Strong scripting skills (e.g., PERL,Python, Bash) for automation and troubleshooting. Experience with monitoring and logging solutions (e.g., Prometheus, Grafana, ELK stack). Knowledge of networking principles and protocols (TCP/IP, UDP, DNS, DHCP, etc.). Experience with managing *nix based machines and strong working knowledge of quintessential Unix programs and tools (e.g. Ubuntu, Fedora, Redhat, etc.) Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Excellent analytical, problem-solving, and troubleshooting skills.. Proven ability to work well under pressure and manage multiple priorities simultaneously. Good To Have: Cloudera Certified Administrator (CCA) or Cloudera Certified Professional (CCP) certification preferred. Minimum 2 years of experience in managing and administering medium/large hadoop based environments (>100 machines), including Cloudera Data Platform (CDP) experience is highly desirable. Familiarity with Open Data Lake components such as Ozone, Iceberg, Spark, Flink, etc. Familiarity with containerization and orchestration technologies (e.g. Docker, Kubernetes, OpenShift) is a plus Design,develop and maintain Airflow DAGs and tasks to automate BAU processes,ensuring they are robust,scalable and efficient. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news Show more Show less

Senior Data Engineer Experience: 6-8 Years Relevant Exp : 5 Years Location : Pune/Chennai Notice Period : Immediate Joiner Requirements: Mandatory Skills : SPARK, PYTHON, SQL Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience as a Data Engineer or similar role. Proficiency in Spark, Scala, Hive, Python, and Snowflake. Strong understanding of ETL processes and data warehousing concepts. Experience with SQL and NoSQL databases. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience with cloud services (e.g., AWS, GCP, Azure, Oracle Cloud). Knowledge of Docker and Kubernetes. Interested candidates can share the updated resumes to the email mentioned below shri.lakshmi@cielhr.com

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Job Description Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract, transform, and load large volumes of structured and unstructured data from diverse sources. Implement data ingestion, processing, and storage solutions on GCP cloud platform, leveraging services. Develop and maintain data models, schemas, and metadata to support efficient data access, query performance, and analytics requirements. Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for scalability, reliability, and cost-effectiveness. Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance. Requirement Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines using PySpark, Scala, and Apache Spark. Hands-on experience with cloud platforms, particularly GCP, and proficiency in GCP services. Strong programming skills in Python and Scala, with experience in software development, version control, and CI/CD practices. Familiarity with data warehousing concepts, dimensional modeling, and relational databases (e.g., SQL Server, PostgreSQL, MySQL). Experience with big data technologies and frameworks (e.g., Hadoop, Hive, HBase) is a plus. Mandatory Skill Sets GCP, Pyspark, Spark Preferred Skill Sets GCP, Pyspark, Spark Years Of Experience Required 4 - 8 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark, Spark SQL Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 18 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Job Description Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract, transform, and load large volumes of structured and unstructured data from diverse sources. Implement data ingestion, processing, and storage solutions on GCP cloud platform, leveraging services. Develop and maintain data models, schemas, and metadata to support efficient data access, query performance, and analytics requirements. Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for scalability, reliability, and cost-effectiveness. Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance. Requirement Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines using PySpark, Scala, and Apache Spark. Hands-on experience with cloud platforms, particularly GCP, and proficiency in GCP services. Strong programming skills in Python and Scala, with experience in software development, version control, and CI/CD practices. Familiarity with data warehousing concepts, dimensional modeling, and relational databases (e.g., SQL Server, PostgreSQL, MySQL). Experience with big data technologies and frameworks (e.g., Hadoop, Hive, HBase) is a plus. Mandatory Skill Sets GCP, Pyspark, Spark Preferred Skill Sets GCP, Pyspark, Spark Years Of Experience Required 4 - 8 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PySpark, Spark SQL Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 18 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

About Citco Citco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1.7 trillion in assets under administration, we deliver end-to-end solutions and exceptional service to meet our clients’ needs. For more information about Citco, please visit www.citco.com About the Team & Business Line: Citco Fund Services is a division of the Citco Group of Companies and is the largest independent administrator of Hedge Funds in the world. Our continuous investment in learning and technology solutions means our people are equipped to deliver a seamless client experience. This position reports in to the Loan Services Business Line As a core member of our Loan Services Data and Reporting team, you will be working with some of the industry’s most accomplished professionals to deliver award-winning services for complex fund structures that our clients can depend upon Job Duties in Brief: Your Role: Develop and execute database queries and conduct data analyses Create scripts to analyze and modify data, import/export scripts and execute stored procedures Model data by writing SQL queries/Python codes to support data integration and dashboard requirements Develop data pipelines that provide fast, optimized, and robust end-to-end solutions Leverage and contribute to design/building relational database schemas for analytics. Handle and manipulate data in various structures and repositories (data cube, data mart, data warehouse, data lake) Analyze, implement and contribute to building of APIs to improve data integration pipeline Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc. Perform data integration through extracting, transforming and loading (ETL) data from various sources. Identify opportunities to improve processes and strategies with technology solutions and identify development needs in order to improve and streamline operations Create tabular reports, matrix reports, parameterized reports, visual reports/dashbords in a reporting application such as Power BI Desktop/Cloud or QLIK Integrating PBI/QLIK reports into other applications using embedded analytics like Power BI service (SaaS), or by API automation is also an advantage Implementation of NLP techniques for text representation, semantic extraction techniques, data structures and modelling Contribute to deployment and maintainence of machine learning solutions in production environments Building and Designing cloud applications using Microsoft Azure/AWS cloud technologies. About You: Background / Qualifications Bachelor’s Degree in technology/related field or equivalent work experience 4+ Years of SQL and/or Python experience is a must Strong knowledge of data concepts and tools and experienced in RDMS such as MS SQL Server, Oracle etc. Well-versed with concepts and techniques of Business Intelligence and Data Warehousing. Strong database designing and SQL skills. objects development, performance tuning and data analysis In-depth understanding of database management systems, OLAP & ETL frameworks Familiarity or hands on experience working with REST or SOAP APIs Well versed with concepts for API Management and Integration with various data sources in cloud platforms, to help with connecting to traditional SQL and new age data sources, such as Snowflake Familiarity with Machine Learning concepts like feature selection/deep learning/AI and ML/DL frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn, StatsModels) is an advantage Familiarity with BI technologies (e.g. Microsoft Power BI, Oracle BI) is an advantage Hands-on experience at least in one ETL tool (SSIS, Informatica, Talend, Glue, Azure Data factory) and associated data integration principles is an advantage Minimum 1+ year experience with Cloud platform technologies (AWS/Azure), including Azure Machine Learning is desirable. Following AWS experience is a plus: Implementing identity and access management (IAM) policies Managing user accounts with IAM Knowledge of writing infrastructure as code (IaC) using CloudFormation or Terraform. Implementing cloud storage using Amazon Simple Storage Service (S3) Experience with serverless approaches using AWS Lambda, e.g. AWS (SAM) Configuring Amazon Elastic Compute Cloud (EC2) Instances Previous Work Experience: Experience querying databases and strong programming skills: Python, SQL, PySpark etc. Prior experience supporting ETL production environments & web technologies such as XML is an advatange Previous working experience on Azure Data Services including ADF, ADLS, Blob, Data Bricks, Hive, Python, Spark and/or features of Azure ML Studio, ML Services and ML Ops is an advantage Experience with dashboard and reporting applications like Qlik, Tableau, Power BI Other: Well rounded individual possessing a high degree of initiative Proactive person willing to accept responsibility with very little hand-holding A strong analytical and logical mindset Demonstrated proficiency in interpersonal and communication skills including oral and written English. Ability to work in fast paced, complex Business & IT environments Knowledge of Loan Servicing and/or Loan Administration is an advantage Understanding of Agile/Scrum methodology as it relates to the software development lifecycle What We Offer: A rewarding and challenging environment that spans multiple geographies and multiple business lines Great working environment, competitive salary and benefits, and opportunities for educational support Be part of an industry leading global organisation, renowned for excellence Opportunities for personal and professional career development Our Benefits Your well-being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location. We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect. Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection .

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Associate Managing Consultant – Performance Analytics-2 Associate Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master’s degree with relevant specialization (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. American Express’ Internal Audit Group (IAG) has reinvented our audit process and is leading the financial services industry with our Audit NextGen, Data-Driven Continuous Auditing, and Auditor of the Future initiatives. Each uniquely support our Winning Aspiration to be a world class internal audit function that: Provides data-driven and technology-enabled assurance Delivers timely risk insights that are business-aware and forward-looking Supports our colleagues with experiences that prepare them to be enterprise leaders Collectively, IAG’s strategic initiatives, combined with our greatest asset – our people – enable IAG to utilize advanced data analysis capabilities, provide greater and continuous assurance, and help ensure quality products and services are provided to American Express customers. IAG’s innovative Data-Driven Continuous Auditing approach has led to patent-pending technology assets over our uniquely developed audit methodology and technology enablers. We are looking for those who share our mission and aspirations and are passionate about the use of data and technology in a collaborative, people-focused environment. Why American Express? There’s a difference between having a job and making a difference. American Express has been making a difference in people’s lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards. We’ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they’re ready to take on a new career path, we’re right there with them, giving them the guidance and momentum into the best future they envision. Key Responsibilities Translate business risks, controls and supporting data into analytic requirements and partners with colleagues to build effective analytics and insights Responsible for multiple simultaneous audit projects of all sizes and complexity across multiple business areas within and outside of local region, in unfamiliar areas, and for different audit leaders Link analytics and insights to ongoing strategic initiatives Apply proven/ advanced data algorithms, advanced analytic and modeling techniques to draw insights essential to driving improvement initiatives Leverage Machine Learning to learn and identify patterns, early warnings, predictions about aspects/ processes touching our customers, from the wide range of Operational, Customer behavior and other structured as well as unstructured data available to us Writing, debugging and compiling codes in multiple Machine Learning environment and not limited to Python/Pyspark, Apache Spark, etc. Prototype and simulate use cases for Advanced analytics, ongoing & proactive assessment of analytic results in partnership with relevant teams, leveraging data to tell compelling business stories, with a keen focus on impact & insights Qualifications Master’s degree in Analytics, Statistics, Operations Research, Computer science, Engineering, or other related fields with atleast 3-4 years of experience in the data and analytics Technical experience with analytic coding techniques, visualization tools and creating reporting dashboards Strong experience in Python environment and libraries (scikit, nltk, pandas and numpy). Working knowledge of statistical/data mining analysis tools, relationship databases and programming languages within the Big data environment Hands on knowledge of SQL/ Hive QL, Visualization tools like Tableau, Power BI Experience with advanced analytic methods, such as machine learning, forecasting, cluster analysis, or pattern matching Track record of analyzing multiple sources of data to distill insights and drive business outcomes to help improve Customer Satisfaction Self-starter alongwith passion for continuous Innovation with a view to drive organizational improvements & impacts Excellent storytelling and visualization skills Extensive business process experience in the financial services industry, including an understanding of related products, services, features, economics and key regulations Aptitude for working with data, interpreting results, business intelligence and analytic best practices Ability to break-down a complex problem into components, solve them using data analysis, process knowledge and risk/control knowledge, and communicate data analysis, issues and control recommendations with transparency and integrity Strong written and verbal communication skills that deliver quality, actionable and beneficial feedback to management on potential control issues and solutions to close gaps Ability to lead and manage multiple projects and incorporate developmental feedback across deliverables We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? The position is in Global Contact and Capacity Management (GCCM). GCCM is responsible for all call volume forecasting, capacity/staff planning, operational expense management, configuration, and real time performance management & monitoring for GSG across various markets globally. The group executes plans built by the Forecasting & Business Planning teams and manages 24/7 real-time performance in the voice and digital channels. The group ensures that robust schedules are designed to meet the demand of daily operations. The schedules are aligned to intraday/intraweek call volume distributions for all markets and lines of business. As a part of the team, you will be responsible for the following: Intra-day call type/segment performance management Shrinkage / off the phone activities management, Intraday Schedules management and recommend schedule changes basis business requirement Execution of Service Code Alert strategies Centralized contact for operations leaders for real time business performance management Work with Short Term Forecasting Team in GCCM for Intra Day Performance (IDP) & Staffing outlook Communicate systems, voice response & telecommunication issues to the relevant teams Proactively identify process improvement opportunities Maintain strong relationships with the operation’s leaders to improve overall understanding and awareness of daily/weekly business impacts Shift Rotations: 24 *7 Minimum Qualification: Bachelor’s degree or equivalent Strong written and verbal communication skills with demonstrated success in creating and conducting presentations to large / senior / ambitious audiences, a plus Strong organizational and project management skills Proven track record to manage multiple priorities effectively with a track record of getting results effectively while meeting deadlines Positive relationship and collaboration skills, including the ability to work in a highly matrixed environment Behavioral Skills/Capabilities: Delivers high quality work with direction and oversight Understands work goals and seeks to understand its importance to the BU and/or the Blue Box Feels comfortable taking decisions/ calculated risks based on facts and intuition Flexible to quickly adjust around shifting priorities, multiple demands, ambiguity, and rapid change Maintains a positive attitude when presented with a barrier Demonstrated ability to challenge the status quo & build consensus Effective team player with a high level of integrity Technical Skills/ Knowledge of platforms: Proficiency with Microsoft Office, especially Excel, and PowerPoint Ability to handle large data sets & prior programming experience in SAS, SQL, Python and/or HQL (Hive Query Language) to write codes independently and efficiently will be useful Eligibility Criteria: Applicant should have a minimum tenure of 12 months as a band 28 in the current role as of the date of application Applicant should not be under Counseling/Review period at the time of application Minimum Combo Performance rating of 5 or lower in the last Annual PMP cycle Preferred Qualification: 1+ years of relevant experience in Workforce Planning/ Operations/MIS analytics would be preferred Proficiency in Workforce Management tools such as Avaya, eWFM, Genesys as well as understanding of call center volume drivers and forecasting/workforce planning processes would be an added advantage Project management skills, knowledge and experience of successfully leading projects, a plus Knowledge of machine learning will be an added advantage Exposure to Big Data Platforms such Cornerstone & visualization tools such Tableau , a nice to have We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Description The Prime Data Engineering & Analytics (PDEA) team is seeking to hire passionate Data Engineers to build and manage the central petabyte-scale data infrastructure supporting the worldwide Prime business operations. At Amazon Prime, understanding customer data is paramount to our success in providing customers with relevant and enticing benefits such as fast free shipping, instant videos, streaming music and free Kindle books in the US and international markets. At Amazon you will be working in one of the world's largest and most complex data environments. You will be part of team that will work with the marketing, retail, finance, analytics, machine learning and technology teams to provide real time data processing solution that give Amazon leadership, marketers, PMs timely, flexible and structured access to customer insights. The team will be responsible for building this platform end to end using latest AWS technologies and software development principles. As a Data Engineer, you will be responsible for leading the architecture, design and development of the data, metrics and reporting platform for Prime. You will architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities that support our Development Engineers, Analysts and Retail business stakeholders with timely, actionable data, metrics and reports while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies. You will partner with business leaders to drive strategy and prioritize projects and feature sets. You will also write and review business cases and drive the development process from design to release. In addition, you will provide technical leadership and mentoring for a team of highly capable Data Engineers. Responsibilities Own design and execution of end to end projects Own managing WW Prime core services data infrastructure Establish key relationships which span Amazon business units and Business Intelligence teams Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs Basic Qualifications 1+ years of data engineering experience Experience with SQL Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2981025 Show more Show less

Job ID: 30155 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 28 May 2025 Job Summary Manager, Development will be a key member of Trade IT Development team and responsible for managing Agile Development teams and ensuring delivery of high-quality software that meets functional and non-functional requirements. The role holder will form a key part of a fast-paced, ambitious, delivery programme. Software Delivery Represent the team to management and management to the team Work closely with the Product Owner to ensure a healthy, refined Product Backlog for the team Responsible for teaching and coaching Scrum values and practices Ensure adherence to delivery schedules and attendance at Daily Stand-up meetings Remove roadblocks and obstacles where the team is not able to do so Assist the Product Owner in shielding the team from external interferences Enable close cooperation across all roles and functions Facilitate team member specialization and generalization of tasks Schedule Sprint Reviews at the end of each sprint with the Product Owner Schedule and facilitate Sprint and Release Planning meetings Primarily a facilitative, servant leader and a Scrum process coach. Monitor Sprint tasks to ensure success but does not create or assign tasks (the team creates and assigns tasks) Regularly and physically meets with the team members Mandatory Skills: Experience in managing Agile Delivery Teams Latest technology architectures and design – Micro services, Web and Mobile applications Cloud-Native application deployments and Containers (Docker) Exceptional troubleshooting and investigative skills. In possession of a strong sense of ownership and accountability The ability to manage competing priorities from a variety of stakeholders. Must demonstrate good judgment and pragmatic approach to delivering a solution that optimizes architecture activities across company needs, business constraints and technological realities Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Proficiency in: Micro-services development using Springboot Technical Stack: Java, Spring, Spring Cloud, Mongo & Oracle or Postgres databases, Elasticsearch, Hazelcast, Kafka, REST APIs, JSON/YML, Technical Tools: Confluence/Jira/Bitbucket or Git, CI / CD (Maven, Git, Jenkins), Eclipse or Intelij IDEA Optional Skills: Strong presentation and communication skills Ability to understand business requirements and convert them into solution designs Experience in event driven architectures (CQRS and SAGA patterns). Build Tools (Gulp, and webpack), Jenkins, Docker, Automation, Bash, Redis, Elasticsearch, Kibana Prior Experience: Relevant experience of 10+ years Banking/FinTech experience preferred Adherence to Risk & Data Quality Management Requirement Continuous management of the Trade Application System risks Proactively identify issues and actions Monitor and remediate issues and actions from audits Awareness of the regulatory world and knowledge of AML, Fraud, Screening, Data Quality needs and ensuring these are catered for in the functional design Stakeholder Management Coordinate with resources and teams across different location Key Stakeholders Operations (Group, Regional, Country and Hubs) Business - Product/Sales/Segments (Group, Regional, Country) Technology – Delivery Teams and Technical Architecture) Hive Leads Chapter Leads Trade Technology Team Interface IT Teams Technology Services Teams Mandatory Skills: Strong presentation and communication skills Ability to understand business requirements and convert them into solution designs Knowledge of web-based systems architecture, Micro service-based architecture, enterprise application architecture as well as experience managing expectations when balancing alternatives against business and financial constraints Must demonstrate good judgment and pragmatic approach to delivering a solution that optimizes architecture activities across company needs, business constraints and technological realities Agile project methodologies Prior Experience: Relevant experience of 10-15 years Banking/Fintech experience mandatory Trade Finance domain experience preferred Key Responsibilities Strategy Awareness and understanding of the Group's business strategy and model appropriate to the role Business Awareness and understanding of the wider business, economic and market environment in which the Group operates. Processes Responsible for executing within set processes People & Talent Lead through example and build the appropriate culture and values. Set appropriate tone and expectations from their team and work in collaboration with Trade Technology partners. Risk Management The ability to interpret the Group's financial information, identify key issues based on this information and put in place appropriate controls and measures. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role Regulatory & Business Conduct Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role Key stakeholders Operations (Group, Regional, Country and Hubs) Business - Product/Sales/Segments (Group, Regional, Country) Technology – Delivery Teams and Technical Architecture) Hive Leads Chapter Leads Trade Technology Team Interface IT Teams Technology Services Teams Production Support Teams Other Responsibilities Do the right thing: Be brave, be the change; Think client; Live with integrity Never Settle: Continuously improve and innovate; Simplify; Learn from your successes and failures Better together: See more in others; How can I help? Build for the long term Skills and Experience Latest technology architectures and design – Micro services, Web and Mobile applications Cloud-Native application deployments and Containers (Docker) Micro-services development using Springboot Java, Spring, Spring Cloud, Mongo & Oracle or Postgres databases, Elasticsearch, Hazelcast, Kafka, REST APIs, JSON/YML Confluence/Jira/Bitbucket or Git, CI / CD (Maven, Git, Jenkins), Eclipse or Intelij IDEA Qualifications EDUCATION- Bachelor’s Degree in Computer Science, Software Engineering or equivalent degree CERTIFICATIONS- JAVA Certification preferred About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

The Data Science Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. Responsibilities: The Data Engineer is responsible for building Data Engineering Solutions using next generation data techniques. The individual will be working with tech leads, product owners, customers and technologists to deliver data products/solutions in a collaborative and agile environment. Responsible for design and development of big data solutions. Partner with domain experts, product managers, analyst, and data scientists to develop Big Data pipelines in Hadoop Responsible for moving all legacy workloads to cloud platform Work with data scientist to build Client pipelines using heterogeneous sources and provide engineering services for data science applications Ensure automation through CI/CD across platforms both in cloud and on-premises Define needs around maintainability, testability, performance, security, quality and usability for data platform Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes Convert SAS based pipelines into languages like PySpark, Scala to execute on Hadoop, Snowflake and non-Hadoop ecosystems Tune Big data applications on Hadoop, Cloud and non-Hadoop platforms for optimal performance Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinates and contributes to the objectives of the entire function. Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/taken. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 2-4 years of total IT experience Experience with Hadoop (Cloudera)/big data technologies /Cloud/AI tools Hands-on experience with HDFS, MapReduce, Hive, Impala, Spark, Kafka, Kudu, Kubernetes, Dashboard tools, Snowflake builts, AWS tools, AI/ML libraries and tools, etc) Experience on designing and developing Data Pipelines for Data Ingestion or Transformation. System level understanding - Data structures, algorithms, distributed storage & compute tools, SQL expertise, Shell scripting, Schedule tools, Scrum/Agile methodologies. Can-do attitude on solving complex business problems, good interpersonal and teamwork skills Education: Bachelor’s/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Technology - Job Family: Data Science - Time Type: Full time - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* EIT is a centralized group within Global Risk Management responsible for independent testing of operational processes within the eight lines of business and enterprise control functions at Bank of America to ensure the company is in compliance with domestic and international laws, rules and regulations, and that risk and controls procedures are operating effectively. Job Description* The Sampling and Test Development Specialist II, with minimal supervision, works in collaboration with the Test Owners, Front Line Units, other Sampling and Test Development resources along with the Test Execution Teams to design and assess the quality of both manual and automated tests, validate data sourcing, conduct required sampling governance or distribute samples for testing, and design or revise sampling procedure documentation, with expert level efficiency and quality. This includes driving test structure to support automation. They will make required changes to new and existing test scripts and test plan documentation, as well as sample and data requirements and maintain integrity within the system of record. The Sampling and Test Development Specialist II will independently gather test scripting and data requirements and work with data partners to ensure appropriate test design and sampling requirements are incorporated in to the Test Plans Evaluates if pilot testing is required and participate in testing as needed and participates in other phases of testing (intake, execution, reporting) to provide expertise and feedback on areas assigned. Maintains SOR (System of Record) tracking of test status per standards. Provides peer coaching and direction where needed. Responsibilities* This role is responsible for accessing pertinent databases or acquiring raw data from third party sources along with all associated documentation and for documenting business procedures within testing scripts. The Sampling and Test Development Specialist II often acts independently to uncover and resolve issues associated with procurement of data to be used for testing and the structure and design of complex tests. This role will deliver high-quality results and manage, manipulate and summarize large quantities of data. The Sampling and Test Development Specialist II must participate in and occasionally lead additional projects across Sampling and Test Development including escalation of areas requiring process refinement and revision and taking leadership role to affect changes when needed. Requirements* Education : Graduates or Post-Graduates in Computer Science, Software Engineering, Statistics. Tech/B.E./B.Sc.(Statistics)/B.C.A./M.C.A/M.Sc. (Statistics) Certifications If Any - NA Experience Range : 4-6 yrs Foundational skills* Advanced understanding of automation tools and ability to influence test owners to define ways to structure tests in an automated fashion. Advanced knowledge of data warehouse and mining concepts and baseline understanding of SAS/SQL query language and syntax Experience building queries to source data from a variety of different types of data sources such as DB2, Teradata, Oracle, SQL Server, Hadoop, Hive, Python Proficiency with MS Office suite with an emphasis on Excel to perform data analytics, pivot tables, lookups and data analytics Proven ability to leverage automation efficiencies, tools, and capabilities where possible. Experience building data acquisition routines in a tool such as Trifacta, Alteryx, MicroStrategy, Tableau, Cognos, Python (or other similar business intelligence applications) Strong research, analytical, problem-solving, and technical skills Demonstrated project management skills; Ability to handle multiple competing priorities with demonstrated success at achieving SLA (Service Level Agreements) Strong partnership and influencing skills. Excellent verbal and written communication skills as well as interpersonal skills Self-starter, organized, versatile, capable of performing work independently with minimal direction. Ability to think independently, solve complex problems, and develop integrated solutions. Ability to translate business objectives to comprehensive test requirements. Demonstrated ability to interface effectively with Senior management. Strong team player Desired skills: Compliance or Risk certification a plus Work Timings: 1.30 PM - 10.30 PM Job Location: Chennai

About the Role: This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment. For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies. Requirements: Minimum 6-8 years of experience in Big Data technologies. The position Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day. Brainstorm and create new platforms that can help in our quest to make available to cluster users in all shapes and forms, with low latency and horizontal scalability. Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion for real-time dash- boarding. Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake. Design & implement new components and various emerging technologies in Hadoop Eco- System, and successful execution of various projects. Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant! Preferred Qualification : Bachelor's/Master's Degree in Computer Science or equivalent Skills that will help you succeed in this role: Fluent with Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc. Excellent programming/debugging skills in Python/Java/Scala. Experience with any scripting language such as Python, Bash etc. Good to have experience of working with noSQL databases like Hbase, Cassandra. Hands-on programming experience with multithreaded applications. Good to have experience in Database, SQL, messaging queues like Kafka. Good to have experience in developing streaming applications e.g. Spark Streaming, Flink, Storm, etc. Good to have experience with AWS and cloud technologies such as S3Experience with caching architectures like Redis etc. Why join us: Because you get an opportunity to make a difference, and have a great time doing that. You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve. You should work with us if you think seriously about what technology can do for people. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be. To know more about exiting work we do:https://paytm.com/blog/engineering/ Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!