3886 Hadoop Jobs - Page 25

Job Description Your unmatched expertise and unrelenting quest for outcomes are the driving forces for transformation that inspire high-quality solutions. You are a crucial member of a diverse team of thought leaders committed to leaving a positive mark on the industry. As a Principal Data Architect at JPMorgan Chase within the Consumer and Community Banking, you will provide expertise to enhance and develop data architecture platforms based on modern cloud-based technologies as well as support the adoption of strategic global solutions. You will leverage your advanced data architecture capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes to achieve the target state architecture goals. Job Responsibilities Advises cross-functional teams on data architecture solutions to achieve the target state architecture and improve current technologies. Lead the design, implementation, and maintenance of scalable, high-performance data architectures, including data lakes, data warehouses, and data integration solutions. Collaborate with cross-functional teams, including IT, business units, and analytics teams, to ensure data architecture supports business needs and enables data-driven decision-making. Drive the adoption of emerging data technologies and methodologies to enhance data capabilities and improve efficiency Develops multi-year roadmaps aligned with business and data architecture strategy and priorities Creates complex and scalable data frameworks using appropriate software design Reviews and debugs code written by others to deliver secure, high-quality production code Serves as the function’s go-to subject matter expert Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable data frameworks using new technology to meet the needs of the business Champions the firm’s culture of diversity, equity, inclusion, and respect. Mentors and coaches junior architects and technologists Required Qualifications, Capabilities, And Skills Formal training or certification on data management concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Hands-on practical experience delivering system design, application development, testing, and operational stability Expert in one or more architecture disciplines and programming languages Deep knowledge of data architecture, best practices, and industry trends Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Advanced knowledge of application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines Ability to present and effectively communicate with Senior Leaders and Executives About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Show more Show less

Syniverse is the world’s most connected company. Whether we’re developing the technology that enables intelligent cars to safely react to traffic changes or freeing travelers to explore by keeping their devices online wherever they go, we believe in leading the world forward. Which is why we work with some of the world’s most recognized brands. Eight of the top 10 banks. Four of the top 5 global technology companies. Over 900 communications providers. And how we’re able to provide our incredible talent with an innovative culture and great benefits. Who We're Looking For The Sr Data Engineer is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems or building new solutions from ground up. This role will work with developers, architects, product managers and data analysts on data initiatives and ensure optimal data delivery with good performance and uptime metrics. Your behaviors align strongly with our values because ours do. Some Of What You'll Do Scope of the Role: Direct Reports: This is an individual contributor role with no direct reports Key Responsibilities Create, enhance, and maintain optimal data pipeline architecture and implementations. Analyze data sets to meet functional / non-functional business requirements. Identify, design, and implement data process: automating processes, optimizing data delivery, etc. Build infrastructure and tools to increase data ETL velocity. Work with data and analytics experts to implement and enhance analytic product features. Provide life cycle support the Operations team for existing products, services, and functionality assigned to the Data Engineering team. Experience, Education, And Certifications Bachelor’s degree in Computer Science, Statistics, Informatics or related field or equivalent work experience. 5+ years of Software Development experience, including 3+ years of experience in Data Engineer fields. Experience in building and optimizing big data pipelines, architectures, and data sets: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL databases, such as PostgreSQL, MySQL, etc. Experience with stream-processing systems: Flink, KSQL, Spark-Streaming, etc. Experience with programming languages, such as Java, Scala, Python, etc. Experience with cloud data engineering and development, such as AWS, etc. Additional Requirements Familiar with Agile software design processes and methodologies. Good analytic skills related to working with structured and unstructured datasets. Knowledge of message queuing, stream processing and scalable big data stores. Ownership/accountability for tasks/projects with on time and quality deliveries. Good verbal and written communication skills. Teamwork with independent design and development habits. Work with a sense of urgency and positive attitude. Why You Should Join Us Join us as we write a new chapter, guided by world-class leadership. Come be a part of an exciting and growing organization where we offer a competitive total compensation, flexible/remote work and with a leadership team committed to fostering an inclusive, collaborative, and transparent organizational culture. At Syniverse connectedness is at the core of our business. We believe diversity, equity, and inclusion among our employees is crucial to our success as a global company as we seek to recruit, develop, and retain the most talented people who want to help us connect the world. Know someone at Syniverse? Be sure to have them submit you as a referral prior to applying for this position. Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks. Hands-on on technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python, Hadoop Platform, Hive, Presto, Druid, airflow Deep understanding of BigQuery architecture, best practices, and performance optimization. Proficiency in LookML for building data models and metrics. Experience with DataProc for running Hadoop/ Spark jobs on GCP. Knowledge of configuring and optimizing DataProc clusters. Offer system support as part of a support rotation with other team members. Operationalize open source data-analytic tools for enterprise use. Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification. Understand and follow the company development lifecycle to develop, deploy and deliver the solutions. Minimum Qualifications Bachelor's degree in Computer Science, CIS, or related field Experience on project(s) involving the implementation of software development life cycles (SDLC) GCP DATA ENGINEER If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

We are seeking a highly experienced Senior Data Software Engineer to join our dynamic team and tackle challenging projects that will enhance your skills and career. As a Senior Engineer, your contributions will be critical in designing and implementing Data solutions across a variety of projects. The ideal candidate will possess deep experience in Big Data and associated technologies, with a strong emphasis on Apache Spark, Python, Azure and AWS. Responsibilities Develop and execute end-to-end Data solutions to meet complex business needs Work collaboratively with interdisciplinary teams to comprehend project needs and deliver superior software solutions Apply your expertise in Apache Spark, Python, Azure and AWS to create scalable and efficient data processing systems Maintain and enhance the performance, security, and scalability of Data applications Keep abreast of industry trends and technological advancements to foster continuous improvement in our development practices Requirements 5-8 years of direct experience in Data and related technologies Advanced knowledge and hands-on experience with Apache Spark High-level proficiency with Hadoop and Hive Proficiency in Python Prior experience with AWS and Azure native Cloud data services Technologies Hadoop Hive Show more Show less

About The Role Grade Level (for internal use): 11 S&P Global Market Intelligence The Role: Lead Software Engineer The Team: The Market Intelligence Industry Data Solutions business line provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our Financial Institution Group business and customer needs. Focus on platform scale to support business by following a common data lifecycle that accelerates business value. We provide essential intelligence for Financial Services, Real Estate and Insurance industries The Impact: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make FIG data available to a data fabric for wider consumption and processing within the company. What’s in it for you: Ability to work with global stakeholders and working on latest tools and technologies. Responsibilities Build new data acquisition and transformation pipelines using big data and cloud technologies. Work with the broader technology team, including information architecture and data fabric teams to align pipelines with the lodestone initiative. What We’re Looking For Bachelor’s in computer science or equivalent with at least 8+ years of professional software work experience Experience with Big Data platforms such as Apache Spark, Apache Airflow, Google Cloud Platform, Apache Hadoop. Deep understanding of REST, good API design, and OOP principles Experience with object-oriented/object function scripting languages: Python, C#, Scala, etc. Good working knowledge of relational SQL and NoSQL databases Experience in maintaining and developing software in production utilizing cloud-based tooling (AWS, Docker & Kubernetes, Okta) Strong collaboration and teamwork skills with excellent written and verbal communications skills Self-starter and motivated with ability to work in a fast-paced software development environment Agile experience highly desirable Experience in Snowflake, Databricks will be a big plus. Return to Work Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return-to-Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316183 Posted On: 2025-06-15 Location: Hyderabad, Telangana, India Show more Show less

About the Role: Grade Level (for internal use): 11 S&P Global Market Intelligence The Role: Lead Software Engineer The Team: The Market Intelligence Industry Data Solutions business line provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our Financial Institution Group business and customer needs. Focus on platform scale to support business by following a common data lifecycle that accelerates business value. We provide essential intelligence for Financial Services, Real Estate and Insurance industries The Impact: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make FIG data available to a data fabric for wider consumption and processing within the company. What’s in it for you: Ability to work with global stakeholders and working on latest tools and technologies. Responsibilities: Build new data acquisition and transformation pipelines using big data and cloud technologies. Work with the broader technology team, including information architecture and data fabric teams to align pipelines with the lodestone initiative. What We’re Looking For: Bachelor’s in computer science or equivalent with at least 8+ years of professional software work experience Experience with Big Data platforms such as Apache Spark, Apache Airflow, Google Cloud Platform, Apache Hadoop. Deep understanding of REST, good API design, and OOP principles Experience with object-oriented/object function scripting languages : Python , C#, Scala, etc. Good working knowledge of relational SQL and NoSQL databases Experience in maintaining and developing software in production utilizing cloud-based tooling ( AWS, Docker & Kubernetes, Okta) Strong collaboration and teamwork skills with excellent written and verbal communications skills Self-starter and motivated with ability to work in a fast-paced software development environment Agile experience highly desirable Experience in Snowflake, Databricks will be a big plus . Return to Work Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return-to-Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316183 Posted On: 2025-06-15 Location: Hyderabad, Telangana, India

Lead, Application Development Hyderabad, India Information Technology 316183 Job Description About The Role: Grade Level (for internal use): 11 S&P Global Market Intelligence The Role: Lead Software Engineer The Team: The Market Intelligence Industry Data Solutions business line provides data technology and services supporting acquisition, ingestion, content management, mastering and distribution to power our Financial Institution Group business and customer needs. Focus on platform scale to support business by following a common data lifecycle that accelerates business value. We provide essential intelligence for Financial Services, Real Estate and Insurance industries The Impact: The FIG Data Engineering team will be responsible for implementing & maintaining services and/or tools to support existing feed systems which allows users to consume FIG datasets and make FIG data available to a data fabric for wider consumption and processing within the company. What’s in it for you: Ability to work with global stakeholders and working on latest tools and technologies. Responsibilities: Build new data acquisition and transformation pipelines using big data and cloud technologies. Work with the broader technology team, including information architecture and data fabric teams to align pipelines with the lodestone initiative. What We’re Looking For: Bachelor’s in computer science or equivalent with at least 8+ years of professional software work experience Experience with Big Data platforms such as Apache Spark, Apache Airflow, Google Cloud Platform, Apache Hadoop. Deep understanding of REST, good API design, and OOP principles Experience with object-oriented/object function scripting languages : Python , C#, Scala, etc. Good working knowledge of relational SQL and NoSQL databases Experience in maintaining and developing software in production utilizing cloud-based tooling ( AWS, Docker & Kubernetes, Okta) Strong collaboration and teamwork skills with excellent written and verbal communications skills Self-starter and motivated with ability to work in a fast-paced software development environment Agile experience highly desirable Experience in Snowflake, Databricks will be a big plus. Return to Work Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return-to-Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316183 Posted On: 2025-06-15 Location: Hyderabad, Telangana, India

Company Description Cyanous is a leading global information technology, consulting, and business process services company. Our mission is to empower every individual and organization to achieve more and adapt to the digital world. We leverage cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to drive transformation and success for our clients. Dedicated to addressing global challenges, we collaborate with employees, clients, partners, public institutions, and community organizations globally. We Are Description This is a full-time role for a Big Data Developer based on-site in Chennai. Responsibilities The Big Data Developer will be responsible for designing, developing, and managing data processing systems. This includes working on data integration, Extract Transform Load (ETL) processes, and ensuring data accuracy and integrity. The role also involves collaborating with cross-functional teams to deliver analytics solutions and continuously improve existing data : Proficiency in Data Engineering, Big Data technologies. Experience with Extract Transform Load (ETL) processes and Data Warehousing. Strong background in Software Development. Excellent problem-solving and analytical skills. Ability to work collaboratively with cross-functional teams. Bachelor's degree in Computer Science, Information Technology, or a related field. Experience in the IT consulting industry is a Have : Minimum 8 years of experience in Spark, Scala, and Big Data with exposure about cloud platforms ( AWS, Azure, GCP) for big data processing and storage. Strong experience in Azure DLS. Strong experience in Databricks, data pipelines. Experience in Hadoop. Seeking someone with strong backend development expertise, particularly in Java(Spring to Have : Agile delivery experience. (ref:hirist.tech) Show more Show less

About The Role The Core Analytics & Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities. What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Refine ambiguous questions and generate new hypotheses and design ML based solutions that benefit product through a deep understanding of the data, our customers, and our business Deliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide Use statistical techniques to measure success, develop northstar metrics and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations and marketing Design experiments and interpret the results to draw detailed and impactful conclusions. Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives. Present findings to senior leadership to drive business decisions Basic Qualifications Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 4+ years experience as a Data Scientist, Machine learning engineer, or other types of data science-focused functions Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics Hands-on experience building and deployment ML models Ability to use a language like Python or R to work efficiently at scale with large data sets Significant experience in setting up and evaluation of complex experiments Experience with exploratory data analysis, statistical analysis and testing, and model development Knowledge in modern machine learning techniques applicable to marketplace, platforms Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop Preferred Qualifications Advanced SQL expertise Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Proven aptitude toward Data Storytelling and Root Cause Analysis using data Advanced understanding of statistics, causal inference, and machine learning Experience designing and analyzing large scale online experiments Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail Ability to work in a self-guided manner Ability to mentor, coach and develop junior team members Superb communication and organisation skills Show more Show less

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist In this role, you will be: Provide expert technical guidance and solutions to the POD for complex business problems Design, develop, and implement technical solutions, ensuring they meet business requirements and are scalable and maintainable Troubleshoot and resolve escalated technical issues instantly. Experience in providing risk assessment for new functionality and enhancements As an ITSO (IT Service Owner), complete BOW tasks within the timelines and ensure that your application services are vulnerability, ICE, resiliency, and contingency testing compliant. As an ITSO, ensure that application have an effective escalation and support framework in place for all IT production Incidents and one that shall meet the agreed operational and service level agreements of business Accountable for leading the POD Sound Knowledge of corporate finance experience exhibiting knowledge of Interest rate risk in the banking book Experience with Agile delivery methodologies (JIRA, Scrum, FDD, SAFe) Experience with DevOps tools (Jenkins, Ansible, Git) Requirements To be successful in this role, you should meet the following requirements: Graduation in technology (B.E, B.Tech & Above) with 10+ years of IT experience. Strong knowledge on Pentaho ETL tool with map reduce build knowledge Writing complex SQL queries Good knowledge on Shell scripting, Python, Java Exposure to Hadoop and Bigdata is plus Infrastructure as Code & CICD – Git, Ansible, Jenkins Having experience in working in Agile/DevOps env. Monitoring, Alerting, Incident Tracking, Reporting, etc. Good understanding of Google cloud and latest tools/technologies exposure will be add-on. HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India Show more Show less

Overview Job Description Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work.” Seeking an astute individual that has a strong technical foundation with ability to be hands-on on developing/building automation to improve efficiency, productivity, and customer experience. Deep knowledge of industry best practices, with the ability to implement them working with larger team cloud, support, and the product teams. Scope We are seeking a highly skilled AI/Prompt Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions for our organization. The ideal candidate will have a deep understanding of AI and ML technologies, as well as experience with data analysis, software development, and cloud computing. Primary Responsibilities Design and implement AI/ conversational AI solutions and ML solutions to solve business problems and to improve customer experience and operational efficiency. Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch Collaborate with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts. Develop and maintain data pipelines and ETL processes to support AI and ML workflows. Monitor and optimize model performance, accuracy, and scalability Stay up to date with emerging AI and ML technologies and evaluate their potential impact on our organization. Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures Provide technical guidance and mentorship to other members of the data engineering and software development teams. Develop and maintain chatbots and voice assistants using tools such as Dialogflow, Amazon Lex, and Microsoft Bot Framework Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows. Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures. Provide technical guidance and mentorship to other team members. What We Are Looking For Bachelor’s degree in computer science, Information Technology, or a related field with 3+ years of experience in conversational AI engineering, design, and implementation Strong understanding of NLP technologies, including intent recognition, entity extraction, and sentiment analysis Experience with software development, including proficiency in Python and familiarity with software development best practices and tools (Git, Agile methodologies, etc.) Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and related services (S3, EC2, Lambda, etc.) Experience with big data technologies (Hadoop, Spark, etc.) Experience with containerization (Docker, Kubernetes) Experience with data visualization tools (Tableau, Power BI, etc.) Experience with reinforcement learning and/or generative models. Experience with machine learning technologies and frameworks (TensorFlow, Keras, etc.) Experience with big data technologies (Hadoop, Spark, etc.) Strong communication and collaboration skills Strong attention to detail and ability to prioritize tasks effectively. Strong problem-solving and analytical skills Ability to work independently and as part of a team. Strong attention to detail and ability to prioritize tasks effectively. Experience working with cloud platforms like AWS, Google Cloud, or Azure. Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka is a plus. Strong problem-solving and analytical skills. Ability to work in an agile and fast-paced development environment. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values Diversity, Inclusion, Value & Equity (DIVE) is our strategy for fostering an inclusive environment we can be proud of. Check out Blue Yonder's inaugural Diversity Report which outlines our commitment to change, and our video celebrating the differences in all of us in the words of some of our associates from around the world. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Show more Show less

Greetings from TCS Recruitment Team! Role: DATABRICKS LEAD/ DATABRICKS SOLUTION ARCHITECT/ DATABRICKS ML ENGINEER Years of experience: 7 to 18 Years Walk-In-Drive Location: Kochi Walk-in-Location Details: Tata Consultancy Services TCS Centre SEZ Unit, Infopark Kochi Phase 1, Infopark Kochi P.O, Kakkanad, Kochi - 682042, Kerala India Drive Time: 9 am to 1:00 PM Date: 21-Jun-25 Must have 5+ years of experience in data engineering or related fields At least 2-3 years of hands-on experience with Databricks (using Apache Spark, Delta Lake, etc.) Solid experience in working with big data technologies such as Hadoop, Spark, Kafka, or similar Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data tools Experience with machine learning frameworks and pipelines, particularly in Databricks. Experience with AI/ML model deployment, MLOps, and ML lifecycle management using Databricks and related tools.

Job Requirements Job Requirements Role/ Job Title: Senior Data Engineer Business: New Age Function/ Department: Data & Analytics Place of Work: Mumbai/Bangalore Roles & Responsibilities 'Minimum 6 years of Data Engineering experience and 3 years in large scale Data Lake ecosystem Proven expertise in SQL, Spark Python, Scala, Hadoop ecosystem, Have worked on multiple TBs/PBs of data volume from ingestion to consumption Work with business stakeholders to identify and document high impact business problems and potential solutions First-hand experience with the complete software development life cycle including requirement analysis, design, development, deployment, and support Advanced understanding of Data Lake/Lakehouse architecture and experience/exposure to Hadoop (cloudera,hortonworks) and AWS Work on end-to-end data lifecycle from Data Ingestion, Data Transformation and Data Consumption layer. Versed with API and its usability A suitable candidate will also be proficient Spark, Spark Streaming, AWS, and EMR A suitable candidate will also demonstrate machine learning experience and experience with big data infrastructure inclusive of MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc. The candidate will additionally demonstrate substantial experience and a deep knowledge of data mining techniques, relational, and non-relational databases. Advanced skills in technical debugging of the architecture in case of issues Creating Technical Design Documentation (HLD/LLD) of the projects/pipelines Secondary Responsibilities 'Ability to work independently and handle your own development effort. Excellent oral and written communication skills Learn and use internally available analytic technologies Identify key performance indicators and establish strategies on how to deliver on these key points for analysis solutions Use educational background in data engineering and perform data mining analysis Work with BI analysts/engineers to create prototypes, implementing traditional classifiers and determiners, predictive and regressive analysis points Engage in the delivery and presentation of solutions Managerial & Leadership Responsibilities 'Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors Oversee the data integration work, including integrating a data model with datalake, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals Key Success Metrics 'Ensure timely deliverables. Spot Data fixes. Lead technical aspects of the projects. Error free deliverables. Show more Show less

Role Summary Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes. Role Responsibilities Lead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes. Provides guidance and may lead/co-lead moderately complex projects. Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes. Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs. Lead the development of complex data products that benefit PGS and ensure reusability across the enterprise. Collaborate effectively with contractors to deliver technical enhancements. Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment. Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency. Conduct root cause analysis and address production data issues. Lead the design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives. Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects. Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives. Document and present findings, methodologies, and project outcomes to various stakeholders. Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery. Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection. Basic Qualifications A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline. Over 4 years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations. Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment. Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred. Strong understanding of data structures, algorithms, and software design principles Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices Preferred Qualifications Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake. ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica. Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing. Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Containerization: Understanding of Docker and Kubernetes for containerization and orchestration. Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files. Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune. Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets. Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch. Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship. Non-standard Work Schedule, Travel Or Environment Requirements Occasionally travel required Work Location Assignment: Hybrid The annual base salary for this position ranges from $96,300.00 to $160,500.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Information & Business Tech Show more Show less

Greetings from TCS Recruitment Team! Role: DATABRICKS LEAD/ DATABRICKS SOLUTION ARCHITECT/ DATABRICKS ML ENGINEER Years of experience: 7 to 18 Years Walk-In-Drive Location: Kochi Walk-in-Location Details: Tata Consultancy Services TCS Centre SEZ Unit, Infopark Kochi Phase 1, Infopark Kochi P.O, Kakkanad, Kochi - 682042, Kerala India Drive Time: 9 am to 1:00 PM Date: 21-Jun-25 Must have 5+ years of experience in data engineering or related fields At least 2-3 years of hands-on experience with Databricks (using Apache Spark, Delta Lake, etc.) Solid experience in working with big data technologies such as Hadoop, Spark, Kafka, or similar Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data tools Experience with machine learning frameworks and pipelines, particularly in Databricks. Experience with AI/ML model deployment, MLOps, and ML lifecycle management using Databricks and related tools. Regards Sundar V Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are seeking an experienced Confluent Kafka Administrator to manage and maintain our Kafka infrastructure. The ideal candidate will have a minimum of 5-8 years of experience with Confluent Kafka and a strong background in data streaming and real-time data processing. Your Key Responsibilities Kafka Cluster Management: Install, configure, and manage Kafka clusters, including Confluent Kafka components. Monitoring and Performance Tuning: Monitor Kafka clusters for performance, reliability, and capacity planning. Optimize Kafka performance and troubleshoot issues. Security: Implement and manage security measures for Kafka clusters, including encryption, authentication, and authorization. Data Integration: Work with development teams to integrate Kafka with various data sources and sinks. Upgrades and Patching: Plan and execute upgrades and patches for Kafka clusters to ensure they are up-to-date with the latest features and security fixes. Disaster Recovery: Develop and maintain disaster recovery plans for Kafka clusters. Documentation: Create and maintain documentation for Kafka configurations, processes, and procedures. Support: Provide support for Kafka-related issues and work closely with other teams to resolve any problems. Topic Management: Manage Kafka topics, including adding and removing topic configurations, setting cleanup policies, and configuring retention times. Support 24/7 shift coverage for BAU production support. Ready to work in Shift and flexible to work on weekends. Skills And Attributes For Success Experience: Minimum of 5 years of experience with Confluent Kafka. Technical Skills: Strong knowledge of Kafka architecture, Kraft mode (Kafka Raft), Kafka Connect, Kafka Streams, and KSQL. Scripting and Automation: Proficiency in scripting languages (e.g., Python, Bash) and automation tools (e.g., Ansible, Terraform). Monitoring Tools: Experience with monitoring tools like Prometheus, Grafana, Dynatrace, and Splunk ITSI. Security: Knowledge of security best practices for Kafka, including SSL/TLS, Kerberos, and RBAC. Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent communication and collaboration skills. To qualify for the role, you must have Certifications: Confluent Certified Administrator or Developer. Cloud Experience: Experience with cloud platforms (e.g., AWS) and managing Kafka in cloud environments. DevOps: Familiarity with DevOps practices and tools. Database Knowledge: Experience with databases such as PostgreSQL, MySQL, or MongoDB. Big Data Technologies: Familiarity with big data technologies like Hadoop, Spark, or Flink. Containerization and Orchestration: Experience with Docker and Kubernetes. CI/CD Pipelines: Knowledge of continuous integration and continuous deployment (CI/CD) pipelines. Agile Methodologies: Experience working in Agile development environments. Soft Skills: Strong leadership, project management, and mentoring skills. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Job Description The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. At least two years (Over all 10+ hands on Data Engineering experience) of experience building and leading highly complex, technical data engineering teams. Lead data engineering team, from sourcing to closing. Drive strategic vision for the team and product Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Experience managing an data focused product,ML platform Hands on experience relevant experience in design, develop, and optimize scalable distributed data processing pipelines using Apache Spark and Scala. Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Experience managing, hiring and coaching software engineering teams. Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality. Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Required Skills: Experience: 7 to 10+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems. Proficiency in Functional Programming: High proficiency in Scala-based functional programming for developing robust and efficient data processing pipelines. Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN. AIRFLOW, DataOps, Data Management Programming and Scripting: Advanced knowledge of Scala and a good understanding of Python for data engineering tasks. Data Modeling and ETL Processes: Solid understanding of data modeling principles and ETL processes in big data environments. Analytical and Problem-Solving Skills: Strong ability to analyze and solve performance issues in Spark jobs and distributed systems. Version Control and CI/CD: Familiarity with Git, Jenkins, and other CI/CD tools for automating the deployment of big data applications. Desirable Experience: Real-Time Data Streaming: Experience with streaming platforms such as Apache Kafka or Spark Streaming.Python Data Engineering Experience is Plus Financial Services Context: Familiarity with financial data processing, ensuring scalability, security, and compliance requirements. Leadership in Data Engineering: Proven ability to work collaboratively with teams to develop robust data pipelines and architectures. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ 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. Show more Show less

Job Description OUR IMPACT Platform Solutions, Goldman Sachs delivers a broad range of financial services across investment banking, securities, investment management and consumer banking to a large and diversified client base that includes corporations, financial institutions, governments, and individuals. Clients embed innovative financial products and solutions that create customer-centered experiences, powered by Goldman Sachs. The businesses of Platform Solutions share a developer-centric mindset and cloud-native platforms. We utilize financial products, including credit cards, installment financing and high yield savings accounts into the ecosystems of major brands to serve millions of loyal customers. We make it easy to offer a range of financial products powered by an API-first platform with the backing of Goldman Sachs' 150+ years of financial expertise. We offer a customized deployment approach while providing a modern, agile technology stack all supported by our long history of financial expertise, risk management and regulatory knowledge. In Platform Solutions (PS), We Power Clients With Innovative And Customer-centered Financial Products. We Bring The Best Qualities Of a Technology Player And Combine That With The Best Attributes Of a Large Bank. PS Is Comprised Of Four Main Businesses, Underpinned By Engineering, Operations And Risk Management Transaction Banking, a cash management and payments platform for clients building a corporate treasury system Enterprise Partnerships, consumer financial products that companies embed directly within their ecosystems to better serve their end customers ETF Accelerator, a platform for clients to launch, list and manage exchange-traded funds Join us on our journey to deliver financial products and platforms that prioritize the customer and developer experience. Your Impact This position will play a key role on the First Line Risk and Control team, supporting Consumer Monitoring & Testing and driving the implementation of horizontal Consumer risk programs. This individual will be responsible for executing risk-based testing, liasing with product, operations, compliance, and legal teams to ensure regulatory adherence. The role will also provide the opportunity to drive development and enhancement of risk and control programs Execute testing and monitoring of regulatory, policy and process compliance Gather and synthesize data to determine root causes and trends related to testing failures Propose effective and efficient methods to enhance testing and sampling strategies (including automation) to ensure the most effective risk detection, analyses and control solutions Proactively identify potential business risks, process deficiencies and improvement opportunities and make recommendations for additional controls and corrective action to enhance the efficiency and effectiveness of risk mitigation processes Maintain effective communication with stakeholders and support teams in remediation of testing errors; assist with implementation of corrective actions related to testing fails and non-compliance with policies and procedures Identify continuous improvement opportunities to meet changing requirements, driving maximum visibility to the executive audience Work closely with enterprise risk teams to ensure business line risks are being shared and rolled up to firm-wide risk summaries Your Skills 2-4 years of testing, audit, or compliance experience in consumer financial services Bachelor’s degree or equivalent military experience Knowledge of applicable U.S. federal and state consumer lending laws and regulations as well as industry association standards, including, among others, Truth in Lending Act (Reg Z), Equal Credit Opportunity Act (Reg B), Fair Credit Reporting Act (Reg V), UDAAP Understanding of test automation framework like data driven, hybrid driven etc Knowledge of testing concepts, methodologies, and technologies Genuine excitement and passion for leading root cause analysis, troubleshooting technical process failures and implementing fixes to operationalize a process Analytical, critical thinking and problem solving skills Highly motivated self-starter with strong organizational skills, attention to detail, and the ability to remain organized in a fast-paced environment Interpersonal, and relationship management skills Integrity, ethical standards, and sound judgment; ability to exercise discretion with respect to sensitive information Ability to summarize observations and present in a clear, concise manner to peers, managers and senior Consumer Compliance management Quickly grasp complex concepts, including global business and regulatory matters Confidence in expressing a point of view with management Plus: CPA, Audit experience, CRCM, proficiency in Aquadata studio, Snowflake, Splunk, Excel macros,Tableau, Hadoop/PySpark/Spark/Python/R, CPA, Audit experience, CRCM About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html Show more Show less

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments, and high-net-worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong, Irving, and other major financial centers around the world. RISK ENGINEERING Risk Engineering, which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. Risk Engineering is staffed globally with offices including Dallas, New Jersey, New York, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. As a member of Risk Engineering, you will interface with a variety of divisions around the firm as well as the other regional offices. The interaction with numerous departments and the diverse projects that ensue allow for a challenging, varied and multi-dimensional work environment. Risk Engineering professionals are part of the value proposition of the firm and we balance our key functional responsibility of control with that of being commercial. RE has strong traditions of risk management, client service excellence and career development opportunities for our people. Job Summary & Responsibilities The Risk Economics Strats (RES) team is a central part of the Goldman Sachs risk management framework with primary responsibility for: developing macroeconomic and financial scenarios for firm-wide scenario-based risk management. developing and implementing statistical models for credit loss forecasting, business-as-usual risk management and regulatory stress testing requirements; and analyzing large datasets of risk metrics to extract valuable insights about the firm’s exposures. To fulfill these objectives, Risk Economics Strats interface with a wide array of divisional, finance and risk management groups across the firm. The cross-disciplinary nature of the projects that RES engages in makes for a challenging and multifaceted work environment. RES professionals are part of the value proposition of the firm, and we balance our key functional responsibility of control and risk management with that of being commercial. RES has strong traditions of risk management, data analytics and career development opportunities for our people. Responsibilities Research, develop and implement coding infrastructure and environment to facilitate analysis related to scenario development, portfolio idiosyncratic risk, and credit loss impacts. Understand, design, and implement models to capture different risk features critical for the estimation of credit loss impacts. Apply statistical and machine learning techniques as required for risk management purposes. Collaborate with other teams to understand different use-cases in order to develop and refine models. Document loss forecasting, stressed capital models and methodologies for both internal and regulatory requirements. Provide overall support to the team to meet requirements for regulatory stress-testing and business-as-usual risk management calculations. Qualifications Strong quantitative and analytical skills with advanced degree in a quantitative discipline with hands on experience in handling data, model building and programming. Background in financial modeling, econometric modelling is preferred. Ability to quickly learn and utilize quantitative modeling techniques. Excellent written and verbal communication skills. Strong organizational skills, strong communication and the ability to manage multiple assignments concurrently. Prior Work Experience At least 5-7 years of experience in financial modeling, loss fore-casting and business analytics related roles. Experience with statistical techniques including segmentation, decision trees and other advanced risk predictive modeling methods. Acquainted with statistical packages (Python, R, etc.) is required, elementary knowledge of data mining and data manipulation tools on big data platforms (Hadoop, Spark, etc.) will be preferred. Any experience with building models for credit ratings , PD / LGD models and loss forecasting will be given preference. Strong writing, presentation, and communication skills; technical writing and documentation experience desired Ability to manage multiple assignments concurrently across various stakeholders. Ability to be operate independently with high degree of ownership and accountability. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Job Description Oracle, the world leader in Enterprise Cloud, is hiring the best and brightest technologists in the industry as we continue to add customer-centric, world-class, leading edge, secure, hyper-scale based solutions throughout all levels of the cloud stack. Oracle’s cloud eco-system is the only complete business cloud platform on the planet, with market leading and business transforming solutions spanning SaaS, DaaS, PaaS and IaaS. Oracle’s Cloud applications, such as Enterprise Resource Management, Customer Relationship Management, Human Capital Management, and Supply Chain Management are used by thousands of customers across the globe and are the broadest, most innovative in the industry, providing businesses with adaptive intelligence, standardized business processes and competitive advantage at low cost. As part of market leading ERP Cloud, Oracle ERP Cloud Integration & Functional Architecture team offers a broad suite of modules and capabilities designed to empower modern finance and deliver customer success with streamlined processes, increased productivity, and improved business decisions. The ERP Cloud Integration & Functional Architecture is looking for passionate, innovative, high caliber, team oriented super stars that seek being a major part of a transformative revolution in the development of modern business cloud based applications. We are seeking highly capable, best in the world developers, architects and technical leaders at the very top of the industry in terms of skills, capabilities and proven delivery; who seek out and implement imaginative and strategic, yet practical, solutions; people who calmly take measured and necessary risks while putting customers first. What You’ll Do You would work as a Principal Applications Engineer on Oracle Next Gen solutions developed and running on Oracle Cloud. Design and build distributed, scalable, fault-tolerant software systems Build cloud services on top of modern Oracle Cloud Infrastructure Collaborate with product managers and other stakeholders in understanding the requirements and work on delivering user stories/backlog items with highest levels of quality and consistency across the product. Work with geographically dispersed team of engineers by taking complete ownership and accountability to see the project through for completion. Skills And Qualifications 7+ years in building and architecting enterprise and consumer grade applications You have prior experience working on distributed systems in the Cloud world with full stack experience. Build and Delivery of a high-quality cloud service with the capabilities, scalability, and performance needed to match the needs of enterprise teams Take the initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders You feel at home communicating technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams, and presentations) You are ideally proficient in Java, J2EE, SQL and server-side programming. Proficiency in other languages like Javascript is preferred. You have experience with Cloud Computing, System Design, and Object-Oriented Design preferably, production experience with Cloud. Experience working in the Apache Hadoop Community and more broadly the Big Data ecosystem communities (e.g. Apache Spark, Kafka, Flink etc.) Experience on Cloud native technologies such as AWS/Oracle Cloud/Azure/Google Cloud etc Experience building microservices and RESTful services and deep understanding of building cloud-based services Experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols Knowledge of Docker/Kubernetes is preferred Ability to work creatively and analytically using data-driven decision-making to improve customer experience. Strong organizational, interpersonal, written and oral communication skills, with proven success in contributing in a collaborative, team-oriented environment. Self–motivated and self-driven, continuously learning and capable of working independently. BS/MS (MS preferred) in Computer Science. Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications. As a member of the software engineering division, you will analyze and integrate external customer specifications. Specify, design and implement modest changes to existing software architecture. Build new products and development tools. Build and execute unit tests and unit test plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering to discuss major changes to functionality. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 7 years of software engineering or related experience. Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant-Data Engineer, AWS+Python, Spark, Kafka for ETL! Responsibilities Develop, deploy, and manage ETL pipelines using AWS services, Python, Spark, and Kafka. Integrate structured and unstructured data from various data sources into data lakes and data warehouses. Design and deploy scalable, highly available, and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift) Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness. Implement and maintain security measures to protect data and systems within the AWS environment, including IAM policies, security groups, and encryption mechanisms. Migrate the application data from legacy databases to Cloud based solutions (Redshift, DynamoDB, etc) for high availability with low cost Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc. Build data pipelines by building ETL processes (Extract-Transform-Load) Implement backup, disaster recovery, and business continuity strategies for cloud-based applications and data. Responsible for analysing business and functional requirements which involves a review of existing system configurations and operating methodologies as well as understanding evolving business needs Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirements Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way Coordinate with release management, other supporting teams to deploy changes in production environment Qualifications we seek in you! Minimum Qualifications Experience in designing, implementing data pipelines, build data applications, data migration on AWS Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift Experience of Databricks will be added advantage Strong experience in Python and SQL Proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift. Advanced programming skills in Python for data processing and automation. Hands-on experience with Apache Spark for large-scale data processing. Experience with Apache Kafka for real-time data streaming and event processing. Proficiency in SQL for data querying and transformation. Strong understanding of security principles and best practices for cloud-based environments. Experience with monitoring tools and implementing proactive measures to ensure system availability and performance. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills to work effectively with cross-functional teams. Preferred Qualifications/ Skills Master’s Degree-Computer Science, Electronics, Electrical. AWS Data Engineering & Cloud certifications, Databricks certifications Experience with multiple data integration technologies and cloud platforms Knowledge of Change & Incident Management process Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Job Description Summary Designs, develops, tests, debugs and implements more complex operating systems components, software tools, and utilities with full competency. Coordinates with users to determine requirements. Reviews systems under development and related documentation. Makes more complex modifications to existing software to fit specialized needs and configurations, and maintains program libraries and technical documentation. May coordinate activities of the project team and assist in monitoring project schedules and costs. Essential Duties And Responsibilities Lead and Manage configuration, maintenance, and support of portfolio of AI models and related products. Manage model delivery to Production deployment team and coordinate model production deployments. Ability to analyze complex data requirements, understand exploratory data analysis, and design solutions that meet business needs. Work on analyzing data profiles, transformation, quality and security with the dev team to build and enhance data pipelines while maintaining proper quality and control around the data sets. Work closely with cross-functional teams, including business analysts, data engineers, and domain experts. Understand business requirements and translate them into technical solutions. Understand and review the business use cases for data pipelines for the Data Lake including ingestion, transformation and storing in the Lakehouse. Present architecture and solutions to executive-level. Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, or related technical field Minimum of 5 years' experience in building data pipelines for both structured and unstructured data. At least 2 years' experience in Azure data pipeline development. Preferably 3 or more years' experience with Hadoop, Azure Databricks, Stream Analytics, Eventhub, Kafka, and Flink. Strong proficiency in Python and SQL Experience with big data technologies (Spark, Hadoop, Kafka) Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) Knowledge of model serving technologies (TensorFlow Serving, MLflow, KubeFlow) will be a plus Experience with one pof the cloud platforms (Azure preferred) and their Data Services. Understanding ML services will get preference. Understanding of containerization and orchestration (Docker, Kubernetes) Experience with data versioning and ML experiment tracking will be great addition Knowledge of distributed computing principles Familiarity with DevOps practices and CI/CD pipelines Preferred Qualifications Bachelor's degree in Computer Science or equivalent work experience. Experience with Agile/Scrum methodology. Experience with tax and accounting domain a plus. Azure Data Scientist certification a plus. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Show more Show less

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems Apply fundamental knowledge of programming languages for design specifications. Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging Serve as advisor or coach to new or lower level analysts Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. 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: 5-7 years of relevant experience in design development using ETL Tools - AB-Initio / MS SQL Server Technology Must have worked on Various Ab-Initio Products like EME/Express-IT and Experience in Continuous Flows. Must be Familiar with ETL Concepts and good on Implementing them . Knowledge of NoSQL Databases/Hadoop-Hive, Spark will be added advantage Experience in systems analysis and programming of software applications Experience in managing and implementing successful projects Working knowledge of consulting/project management techniques/methods Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: Bachelor’s degree/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: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ 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. Show more Show less

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems Ensure essential procedures are followed and help define operating standards and processes Serve as advisor or coach to new or lower level analysts Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. 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: 7 to 12 years of Application development experience through full lifecycle SME for UI architecture patterns - Micro Frontend, NX. The primary area of Experience with Core Java/J2EE Application with complete command over OOPs and Design Patterns. The candidate should be commendable in Data Structures and Algorithms. He should have worked on Core Application Development of complex size encompassing all areas of Java/J2EE. She/He should Thorough knowledge and hands on experience in following technologies Hadoop, Map Reduce Framework, Spark, YARN, Sqoop, Pig , Hue, Unix, Java, Sqoop, Impala, Cassandra on Mesos. Cloudera certification (CCDH) is an added advantage. She/He should have implemented or part complex project execution in Big Data Spark eco system, where processing volumes of data thorough understanding of distributed processing and integrated applications. Exposure to ETL and BI tools will be good. Work in an agile environment following through the best practices of agile Scrum. Expertise in designing and optimizing the software solutions for performance and stability. Expertise in troubleshooting and problem solving. Expertise in Test driven development. Education: Bachelor’s degree/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: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ 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. Show more Show less

Job Title: Lead Data Engineer – C12 / Assistant Vice President (India) The Role The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 8 to 12 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills An inclination to mentor; an ability to lead and deliver medium sized components independently T echnical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management: Expertise around Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Data Governance: A strong grasp of principles and practice including data quality, security, privacy and compliance Technical Skills (Valuable) Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI Certification on any one or more of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ 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. Show more Show less