5377 Hive Jobs - Page 10

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

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Managing Consultant – Performance Analytics Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members’ roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants Qualifications 8-10 years of overall career experience post Masters/MBA or 10-12 years of experience post Graduation Excellent expertise on Performance Analytics, Python, PySpark & SQL Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience coaching and managing teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS), building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI) Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Provide creative input on projects across a range of industries and problem statements Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value Collaborate with Mastercard team to understand clients’ needs, agenda, and risks Develop working relationship with client analysts/managers, and act as trusted and reliable partner Team Collaboration & Culture Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings Lead internal and client meetings, and contribute to project management Contribute to the firm's intellectual capital Receive mentorship from performance analytics leaders for professional growth and development Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings Proficiency using data analytics software (e.g., Python, R, SQL, SAS) Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Experience managing tasks or workstreams in a collaborative team environment Ability to identify problems, brainstorm and analyze answers, and implement the best solutions Relevant industry expertise Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Job Description 4-6 years of good hands on exposure with Big Data technologies – pySpark (Data frame and SparkSQL), Hadoop, and Hive Good hands on experience of python and Bash Scripts Good understanding of SQL and data warehouse concepts Strong analytical, problem-solving, data analysis and research skills Demonstrable ability to think outside of the box and not be dependent on readily available tools Excellent communication, presentation and interpersonal skills are a must Good to have: Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. IAM, Glue, EMR, RedShift, S3, Kinesis) Orchestration with Airflow and Any job scheduler experience Experience in migrating workload from on-premise to cloud and cloud to cloud migrations Roles & Responsibilities Develop efficient ETL pipelines as per business requirements, following the development standards and best practices. Perform integration testing of different created pipeline in AWS env. Provide estimates for development, testing & deployments on different env. Participate in code peer reviews to ensure our applications comply with best practices. Create cost effective AWS pipeline with required AWS services i.e S3,IAM, Glue, EMR, Redshift etc.

Your Qualifications Bachelor's with > 6 years of relevant experience Experience in Analyzing the Complex Problems and translate it into data science algorithms Good grasp of NLP and GenAI with project experience Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Lead role mentoring multiple Jr. Analysts on approach and results. Strong Experience in Python, PySpark Google Cloud platform ,Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala) Responsibilities Play a key role to solve complex problems, business and drive actionable insights from petabytes of data Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead small teams and participate in data science project teams by serving as the technical lead for project Partner with senior team members to assess customer needs and define business questions Clearly articulate and present recommendations to business partners, and influence future plans based on insights Partner and engage with associates in other regions for delivering best services to the customers around the globe Work with customer centric mindset to deliver high quality business driven analytic solution Mentor peers and analysts across the division in analytical best practices Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving

You will be responsible for leading a migration project from Oracle Cloud to MySQL database (on-premises) with a focus on SQL script and Python migration. Your expertise in on-premises solutions, specifically Linux-based standalone database, and connecting with multiple data sources will be crucial for the success of the project. Your core competencies should include proficiency in Big Data Technologies such as Hadoop (HDFS, YARN), Hive, and PySpark. You should have experience in designing end-to-end data ingestion & ETL pipelines, orchestrating and monitoring them efficiently. Additionally, your skills in cluster management, including primary/secondary cluster configuration, load balancing, and HA setup, will be essential. You should be well-versed in on-premises infrastructure, MySQL databases, and storage & management tools like HDFS and Hive Metastore. Your expertise in programming and scripting languages such as Python, PySpark, and SQL will be required for performing tasks related to performance optimization, Spark tuning, Hive query optimization, and resource management. Experience in building and deploying automated data pipelines in an on-premises environment using CI/CD practices will be advantageous. Furthermore, your knowledge of integrating with logging and monitoring tools, along with experience in security frameworks, will contribute to effective monitoring and governance of the data environment.,

You have over 5 years of experience in building production-grade Neural Network models using Computer Vision or Natural Language Processing techniques. You possess a strong understanding of various machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, Decision Forests, and Neural Networks. Experience with Deep Learning frameworks like TensorFlow, PyTorch, and MxNet is part of your skillset. Proficiency in common data science toolkits such as R, Sklearn, NumPy, MatLab, and MLib is highly desirable. Additionally, you have solid applied statistics skills encompassing distributions, statistical testing, and regression. Your expertise extends to using query languages like SQL, Hive, Pig, and NoSQL databases. In this role, you will collaborate with Product Managers, Architects, and Engineering Leadership to conceptualize, strategize, and develop new products focused on AI/ML initiatives. You will be responsible for developing, driving, and executing the long-term vision and strategy for the Data Science team by engaging with multiple teams and stakeholders across the organization. Your tasks will involve architecting, designing, and implementing large-scale machine learning systems. Specifically, you will develop Neural Network models for information extraction from mortgage documents using Computer Vision and NLP techniques. Ad-hoc analysis and clear presentation of results to various audiences and key stakeholders will be part of your routine. You will also design experiments, test hypotheses, and build models while conducting advanced data analysis and highly complex algorithm designs. Applying advanced statistical, predictive, and machine learning modeling techniques to enhance multiple real-time decision systems will be a key aspect of your role. You will collaborate with development teams to deploy models in the production environment to support ML-driven product features. Furthermore, you will define business-specific performance metrics to assess model effectiveness and continuously monitor and enhance these metrics over time for models in a production environment. To qualify for this position, you should hold an M.S. in mathematics, statistics, computer science, or a related field, with a Ph.D. degree being preferred. You must have over 5 years of relevant quantitative and qualitative research and analytics experience. Excellent communication skills and the ability to effectively convey complex topics to a diverse audience are essential attributes for this role.,

Role : Big Data Developer Location : Chennai Experience : 7+ years Work Mode : Work from Office Key Skills Required Google Cloud Platform (GCP) BigQuery (BQ) Dataflow Dataproc Cloud Spanner Strong knowledge of distributed systems, data processing frameworks, and big data architecture. Proficiency in programming languages like Python, Java, or Scala. Roles And Responsibilities BigQuery (BQ): Design and develop scalable data warehouses using BigQuery. Optimize SQL queries for performance and cost-efficiency in BigQuery. Implement data partitioning and clustering strategies. Dataflow: Build and maintain batch and streaming data pipelines using Apache Beam on GCP Dataflow. Ensure data transformation, enrichment, and cleansing as per business needs. Monitor and troubleshoot pipeline performance issues. Dataproc: Develop and manage Spark and Hadoop jobs on GCP Dataproc. Perform ETL/ELT operations using PySpark, Hive, or other tools. Automate and orchestrate jobs for scheduled data workflows. Cloud Spanner: Design and manage globally distributed, scalable transactional databases using Cloud Spanner. Optimize schema and query design for performance and reliability. Implement high availability and disaster recovery strategies. General Responsibilities: Collaborate with data architects, analysts, and business stakeholders to understand data requirements. Implement data quality and data governance best practices. Ensure security and compliance with GCP data handling standards. Participate in code reviews, CI/CD deployments, and Agile development cycles.

As a skilled Data Engineer, you will leverage your expertise to contribute to the development of data modeling, ETL processes, and reporting systems. With over 3 years of hands-on experience in areas such as ETL, Big Query, SQL, Python, or Alteryx, you will play a crucial role in enhancing data engineering processes. Your advanced knowledge of SQL programming and database management will be key in ensuring the efficiency of data operations. In this role, you will utilize your solid experience with Business Intelligence reporting tools like Power BI, Qlik Sense, Looker, or Tableau to create insightful reports and analytics. Your understanding of data warehousing concepts and best practices will enable you to design robust data solutions. Your problem-solving skills and attention to detail will be instrumental in addressing data quality issues and proposing effective BI solutions. Collaboration and communication are essential aspects of this role, as you will work closely with stakeholders to define requirements and develop data-driven insights. Your ability to work both independently and as part of a team will be crucial in ensuring the successful delivery of projects. Additionally, your proactive approach to learning new tools and techniques will help you stay ahead in a dynamic environment. Preferred skills include experience with GCP cloud services, Python, Hive, Spark, Scala, JavaScript, and various BI/reporting tools. Your strong oral, written, and interpersonal communication skills will enable you to effectively convey insights and solutions to stakeholders. A Bachelor's degree in Computer Science, Computer Information Systems, or a related field is required for this role. Overall, as a Data Engineer, you will play a vital role in developing and maintaining data pipelines, reporting systems, and dashboards. Your expertise in SQL, BI tools, and data validation will contribute to ensuring data accuracy and integrity across all systems. Your analytical mindset and ability to perform root cause analysis will be key in identifying opportunities for improvement and driving data-driven decision-making within the organization.,

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Broadcast Operations – Global Streaming Media Services EY Technology: Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 400,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day. Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients. Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization. EY Technology supports our technology needs through three business units: Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster, and pursue those opportunities more rapidly. Enterprise Workplace Technology (EWT) – EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience. Information Security (Info Sec) - Info Sec prevents, detects, responds and mitigates cyber-risk, protecting EY and client data, and our information management systems. The opportunity You’ll be part of a globally dynamic and evolving team focused on delivering top broadcast quality experiences to everyone around the world. Our services cross various geographies and cultures to deliver a uniform message. Greatly reducing EY’s carbon footprint and making the art of communication entertaining. Your Key Responsibilities Supporting streaming media productions globally by working together with the production teams and stakeholders to deliver high quality experiences for our clients, both internal and external The meeting support specialist will provide white-glove service to stakeholders through the entire service journey. This includes – As the Host and Production lead - you will be responsible for platform selection based on consultation, build of the event, providing agenda and audience links, greenroom management of presenters and support. Such responsibilities can include and not be limited to – opening and closing the event, managing Q&A, Polling and Chat. Sharing content and assisting attendees with break-out sessions. All post event analytical and debriefing. Skills And Attributes For Success Meeting support specialist will be a team player who can advocate for their customers while understanding the technology and compliance requirements of virtual events and meeting platforms. To qualify for the role, you must have: Excellent communication skills, both verbal and written A passion for customer service A resilient attitude and the ability to remain calm even in high pressure situations The ability to work with and help people at all levels, and comfort with large audiences Deep knowledge and experience with meeting and event platforms, including Microsoft Teams Townhall and Zoom Events. Demonstrable experience of working with digital audio/video workstations, mixing/switching consoles such as Socialive, vMix and Wirecast. Systems used for editing such as Adobe Premier and DaVinci Resolve. Live studio evnvironement would be an asset. Due to the Global nature of our Team, flexibility is critical to your success. At times there may be requirements to support events outside of your local time zone. To qualify for the role you must have Post-secondary education in Broadcast or IT Technology / Computer Sciences Deep knowledge in Broadcast signal path and acquisition. CCNA Cisco Network Qualifications Ideally, you’ll also have Deep understanding of CDN and eCDN services such as Akamai, Limelight, Hive and Peer5. Knowledge in encoding and transcoding fundamentals including HLS and DASH. Proficiency in HTML, Java and PHP Knowledge of Asset Management Technology What We Look For The skillsets required to effectively fulfil this position constantly change. The successful applicant will be the person who can keep up with this ever-changing demand and thrives by helping bring new and creative processes into a team environment. What Working At EY Offers We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Location: Gurgaon tbo.com Office Address: Floor 22, Tower C, Epitome Building No. 5,DLF Cyber city, DLF phase 2,Gurgaon - 122002, Haryana, India TBO – Travel Boutique Online Group –(www.tbo.com) TBO is a global platform that aims to simplify all buying and selling travel needs of travel partners across the world. The proprietary technology platform aims to simplify the demands of the complex world of global travel by seamlessly connecting the highly distributed travel buyers and travel suppliers at scale. The TBO journey began in 2006 with a simple goal – to address the evolving needs of travel buyers and suppliers, and what started off as a single product air ticketing company, has today become the leading B2A (Business to Agents) travel portal across the Americas, UK & Europe, Africa, Middle East, India, and Asia Pacific. Today, TBO’s product range from air, hotels, rail, holiday packages, car rentals, transfers, sightseeing, cruise, and cargo. Apart from these products, our proprietary platform relies heavily on AI/ML to offer unique listings and products, meeting specific requirements put forth by customers, thus increasing conversions. TBO’s approach has always been technology-first and we continue to invest on new innovations and new offerings to make travel easy and simple. TBO’s travel APIs are serving large travel ecosystems across the world while the modular architecture of the platform enables new travel products while expanding across new geographies. Why TBO: • You will influence & contribute to “Building World Largest Technology Led Travel Distribution Network” for a $ 9 Trillion global travel business market. • We are the emerging leaders in technology led end-to-end travel management, in the B2B space. • Physical Presence in 47 countries with business in 110 countries. • We are reputed for our-long lasting trusted relationships. We stand by our eco system of suppliers and buyers to service the end customer. • An open & informal start-up environment which cares. What TBO offers to a Life Traveller in You: • Enhance Your Leadership Acumen. Join the journey to create global scale and ‘World Best’. • Challenge Yourself to do something path breaking. Be Empowered. The only thing to stop you will be your imagination. • As we enter the last phase of the pandemic; travel space is likely to see significant growth. Witness and shape this space. It will be one exciting journey. We are a tech-driven organization focused on leveraging data, AI, and scalable cloud infrastructure to drive impactful business decisions. We are looking for a highly skilled and experienced Head of Data Science and Engineering with a strong background in machine learning, AI , and big data architecture , ideally from a top-tier engineering Key Responsibilities: Design, develop, and maintain robust, scalable, and high-performance data pipelines and ETL processes. Architect and implement large-scale data infrastructure using tools such as Spark, Kafka, Airflow, and cloud platforms (AWS/GCP/Azure). Deploy machine learning models into production. Optimize data workflows to handle structured and unstructured data across various sources. Develop and maintain metadata management, data quality checks, and observability. Drive best practices in data engineering, data governance, and model monitoring. Mentor junior team members and contribute to strategic technology decisions. Must-Have Qualifications: 10+ years of experience in data engineering/Scientist, data architecture, or a related domain. Strong expertise in Python/Scala/Java and SQL. Proven experience with big data tools (Spark, Hadoop, Hive), streaming systems (Kafka, Flink), and workflow orchestration tools (Airflow, Prefect). Deep understanding of data modeling , data warehousing , and distributed systems . Strong exposure to ML/AI pipelines , MLOps, and model lifecycle management. Experience with cloud platforms such as AWS (S3, Redshift, Glue) , GCP (BigQuery, Dataflow) , or Azure (Data Lake, Synapse) . Graduate/Postgraduate from a premium engineering institute (IITs, NITs, BITS, etc.) . Exposure to Statistical Modeling around pricing and churn management is a plus Exposure to fine-tuning LLMs is a plus

Job Title: Data Engineer Location: Remote (4-hour EST overlap, 9 AM – 1 PM EST) Type: Full-time We are seeking experienced Data Engineers to join our engineering team and build data-driven products on cloud-based infrastructure. You will design, develop, and optimize scalable systems to process large volumes of data while leading a small team of developers. Key Responsibilities: Design, build, test, and deploy scalable, reusable data systems. Manage and optimize data and compute environments for efficiency. Lead and mentor a small development team; conduct code reviews. Collaborate with cross-functional teams to integrate data solutions. Stay current with emerging technologies and guide best practices. Required Skills: 8+ years’ experience with Linux, Bash, Python, SQL. 4+ years with Spark and the Hadoop ecosystem. 4+ years using AWS (EMR, Glue, Athena, Redshift). Experience designing/managing data flows and APIs. 4+ years in team management and mentorship. Passion for solving complex, real-world data problems. Preferred Skills: Degree in Computer Science, Engineering, or equivalent. Experience with Python, C++, large-scale data infrastructure, Hive, Airflow, dbt, Airbyte. Strong knowledge of data organization, cataloging, and relational databases. Familiarity with AWS and/or GCP cloud ecosystems.

202505329 Thane, Maharashtra, India Bevorzugt Description Key Responsibilities Develop and deploy predictive models to support financial planning, budgeting, and forecasting Analyze large datasets to identify trends, anomalies, and opportunities for cost optimization and top-line growth Collaborate with cross-functional teams including Finance, HR, Sales Ops, and IT to align data science initiatives with business goals Proactively mines data lakes / warehouses to identify trends and patterns and generates insights for business units and senior leadership Design and implement machine learning algorithms for financial risk assessment and scenario analysis Create dashboards and visualizations to communicate insights to stakeholders using tools like Power BI or Tableau Ensure data integrity and compliance with internal governance and regulatory standards Contribute to the development of data products and automation tools that enhance financial decision-making Qualifications Required Qualifications Bachelor’s or master’s degree in data science, statistics, mathematics, computer science, finance, or a related field 3+ years of experience in a data science role, preferably within a financial or insurance environment Proficiency in Python, R, SQL, and experience with cloud platforms (AWS, Azure, or GCP) Strong understanding of statistical modeling, machine learning, and financial analytics Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka Experience with data visualization tools (e.g., Tableau, Power BI) Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders Strong business acumen and a proactive, problem-solving mindset Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models Preferred Qualifications Experience in financial services, insurance, or actuarial domains Familiarity with financial reporting standards and regulatory requirements Knowledge of tools like Microsoft Azure / Fabric, Azure Synapse Analytics, Databricks, Snowflake, or similar big data platforms What We Offer A collaborative and inclusive work environment Opportunities for professional growth and development Competitive compensation and benefits package The chance to work on impactful projects that shape the future of finance at WTW

As a Senior Data Engineer at our organization, you will play a crucial role in the Data Engineering team within the Enterprise Data & Analytics organization. Your primary responsibility will be to design, build, and maintain both batch and real-time data pipelines that cater to the needs of our enterprise, analyst communities, and downstream systems. Collaboration with data architects is essential to ensure that the data engineering solutions align with the long-term architecture objectives. You will be tasked with maintaining and optimizing the data infrastructure to facilitate accurate data extraction, transformation, and loading from diverse data sources. Developing ETL processes will be a key part of your role to extract and manipulate data effectively. Ensuring data accuracy, integrity, privacy, security, and compliance will be a top priority, and you will need to follow quality control procedures and adhere to SOX compliance standards. Monitoring data systems performance, implementing optimization strategies, improving operational practices and metrics, and mentoring junior engineers will also be part of your responsibilities. To be successful in this role, you should possess a Bachelor's degree in Computer Science, Information Systems, or a related field, along with a minimum of 5+ years of relevant experience in data engineering. Experience with cloud Data Warehouse solutions (such as Snowflake) and Cloud-based solutions (e.g., AWS, Azure, GCP), as well as exposure to Salesforce or any CRM system, will be beneficial. Proficiency in Advanced SQL, relational databases, database design, large data sets, distributed computing (Spark/Hive/Hadoop), object-oriented languages (Python, Java), scripting languages, data pipeline tools (Airflow), and agile methodology is required. Your problem-solving, communication, organizational skills, ability to work independently and collaboratively, self-starting attitude, stakeholder communication skills, and quick learning and adaptability will be crucial for excelling in this role. By following best practices, standards, and contributing to the maturity of data engineering practices, you will be instrumental in driving business transformation through data.,

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. American Express has embarked on an exciting transformation driven by an energetic new team of an inclusive pool of candidates to give all an equal opportunity for growth. Service Operations is responsible for providing reliable platforms for hundreds of critical applications and utilities within American Express Primary focus is to provide technical expertise and tooling to ensure the highest level of reliability and availability for critical applications. Able to provide consultation and strategic recommendations by quickly assessing and remediating complex availability issues. Responsible for driving automation, efficiencies to increase quality, availability, and auto-healing of complex processes. Responsibilities include, but not limited to: The Ideal candidate will be responsible for Designing, Developing and maintaining data pipelines. Serving as a core member of an agile team that drives user story analysis and elaboration, designs and develops responsive web applications using the best engineering practices You will closely work with data scientists, analysts and other partners to ensure the flawless flow of data. You will be Building and optimize reports for analytical and business purpose. Monitor and solve data pipelines issues to ensure smooth operation. Implementing data quality checks and validation process to ensure the accuracy completeness and consistency of data Implementing data governance policies , access controls , and security measures to protect critical data and ensure compliance. Developing deep understanding of integrations with other systems and platforms within the supported domains. Bring a culture of innovation, ideas, and continuous improvement. Challenging status quo, demonstrate risk taking, and implement creative ideas Lead your own time, and work well both independently and as part of a team. Adopt emerging standards while promoting best practices and consistent framework usage. Work with Product Owners to define requirements for new features and plan increments of work. Minimum Qualifications BS or MS degree in computer science, computer engineering, or other technical subject area or equivalent 0 to 3 years of work experience At least 1 to 3 years of hands-on experience with SQL, including schema design, query optimization and performance tuning. Experience with distributed computing frameworks like Hadoop,Hive,Spark for processing large scale data sets. Proficiency in any of the programming language python, pyspark for building data pipeline and automation scripts. Understanding of cloud computing and exposure to Big Query and Airflow to execute DAGs. knowledge of CICD, GIT commands and deployment process. Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues and optimize data processing workflows Excellent communication and collaboration skills. We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

As a candidate with over 5 years of experience, you will be responsible for Bigdata Testing involving technologies such as Hadoop, HDFS, Hive, Kafka, Spark, SQL, and UNIX. Your expertise in these areas will be crucial in ensuring the efficiency and accuracy of our data testing processes. Your mandatory skills should include proficiency in Bigdata Testing tools such as Hadoop, HDFS, Hive, Kafka, Spark, SQL, and UNIX. Additionally, having a good understanding of these technologies will be advantageous in fulfilling your responsibilities effectively. While working at our Bangalore location, you will be required to undergo a background check process either before onboarding or after onboarding. This process will be facilitated by a designated BGV Agency to ensure compliance and security within the organization. Overall, your role will be pivotal in maintaining the quality and reliability of our data testing procedures, making your expertise in Bigdata Testing technologies essential to our team's success.,

As a Machine Learning Engineer at Expedia Group, you will have the opportunity to work in a cross-functional geographically distributed team of Machine Learning engineers and ML Scientists. Your role will involve designing and coding large scale batch and real-time pipelines on the Cloud. You will be responsible for prototyping creative solutions quickly, developing minimum viable products, and collaborating with seniors and peers to implement the technical vision of the team. In this role, you will act as a point of contact for junior team members, offering advice and direction. You will actively participate in all phases of the end-to-end ML model lifecycle for enterprise applications projects, collaborating with a global team of data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications. Additionally, you will work closely with cross-functional teams to integrate generative AI solutions into existing workflow systems. Your responsibilities will also include participating in code reviews to assess overall code quality and flexibility, defining, developing, and maintaining artifacts like technical design or partner documentation, as well as maintaining, monitoring, supporting, and improving solutions and systems with a focus on service excellence. To be successful in this role, you should have a degree in software engineering, computer science, informatics, or a similar field, with at least 5+ years of experience for Bachelor's degree holders or 3+ years for Master's degree holders. You should be comfortable programming in Python (Primary) and Scala (Secondary) and have hands-on experience with OOAD, design patterns, SQL, and NoSQL. Knowledge in big data technologies such as Spark, Hive, Hue, and Databricks is essential. Experience in developing and deploying Batch and Real-Time Inferencing applications is also required. Additionally, you should have a good understanding of machine learning pipelines and the ML Lifecycle, traditional ML algorithms, and Gen-AI tools/tech-stack. Experience with cloud services (e.g., AWS) and workflow orchestration tools (e.g., Airflow) is preferred. Passion for learning, especially in the areas of micro-services, system architecture, Data Science, and Machine Learning, as well as experience working with Agile/Scrum methodologies, are also desired. If you need assistance with any part of the application or recruiting process due to a disability, physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia Group is committed to creating an inclusive and diverse work environment where everyone belongs and differences are celebrated.,

As a Software Engineer, you will play a crucial role in developing various tools and features for Data and ML platforms at the organization. Your responsibilities will include working on projects related to data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will have the opportunity to either create custom solutions from scratch or customize existing open-source products to meet the specific needs of the company. The ideal candidate for this role is someone who enjoys tackling challenges, solving problems creatively, excels in collaborative environments, and is capable of delivering high-quality software within tight deadlines and constraints. This position will involve the development of innovative tools and frameworks that can enhance the capabilities of third-party BI tools through APIs. To qualify for this role, you should have a minimum of 4 years of hands-on experience with programming languages such as Java, Python, or Scala. Additionally, you should possess expertise in designing and implementing scalable microservices and Rest APIs, as well as hands-on experience with SQL and NoSQL databases. Experience in building and deploying cloud-native applications on platforms like AWS, GCP, or others is essential. Proficiency in DevOps tools, containers, and Kubernetes is also required. Strong communication and interpersonal skills are necessary for effective collaboration with cross-functional teams, along with a strong sense of ownership towards project deliverables. Preferred qualifications for this role include knowledge of Big Data technologies and platforms, familiarity with distributed computing frameworks like Spark, and experience with SQL query engines such as Trino and Hive. Previous exposure to AI/ML and Data Sciences domains would be advantageous, as well as proficiency in JavaScript libraries and frameworks like React. Experience with Business Intelligence (BI) platforms like Tableau, ThoughtSpot, and Business Objects is considered a plus. In terms of education and experience, a relevant academic background coupled with hands-on experience in software development is preferred. The successful candidate should be proactive, detail-oriented, and capable of working effectively in a fast-paced environment. If you are passionate about developing cutting-edge solutions in the field of data and ML, this role offers an exciting opportunity to contribute to impactful projects and drive innovation within the organization.,

As a Senior Data Engineer at Buildnetic, a Singapore HQ company located in Bangalore, you will leverage your 8 to 12 years of experience to play a crucial role in designing, implementing, and managing data infrastructure that drives data-driven decision-making processes. In this hybrid role, you will collaborate with cutting-edge technologies to construct data pipelines, architect data models, and uphold data integrity. Your key responsibilities will include designing, developing, and maintaining scalable data pipelines and architectures, working with large datasets to create efficient ETL processes, and partnering with data scientists, analysts, and stakeholders to discern business requirements. Ensuring data quality through cleaning, validation, and profiling, implementing data models for optimal performance in data warehousing and data lakes, and managing cloud data infrastructure on platforms like AWS, Azure, or GCP will be essential aspects of your role. You will work with a variety of programming languages including Python, SQL, Java, and Scala, alongside data warehousing and data lakes tools such as Snowflake, Redshift, Databricks, Hadoop, Hive, and Spark. Your expertise in data modeling techniques, ETL tools like Informatica and Talend, and management of both NoSQL and relational databases will be critical. Additionally, experience with CI/CD pipelines, Git for version control, troubleshooting complex data infrastructure issues, and proficiency in Linux/Unix systems will be advantageous. If you possess strong problem-solving skills, effective communication abilities, and prior experience working in a hybrid work environment, Buildnetic offers you an opportunity to be part of a forward-thinking company that prioritizes innovation and technological advancement. You will collaborate with a talented and collaborative team, enjoy a flexible hybrid working model, and receive a competitive salary and benefits package. If you are passionate about data engineering and eager to work with the latest technologies, we look forward to hearing from you.,

The Intermediate Analyst in Specialized Analytics is a developing professional role with the ability to independently solve most problems and address complex issues. By combining specialized knowledge with industry standards, you will contribute to achieving sub function objectives. Your role involves applying analytical thinking, utilizing data analysis tools, and maintaining attention to detail when making recommendations based on factual information. You will play a key role in interpreting data, breaking down information systematically, and communicating effectively. Your strong communication and diplomacy skills will be essential for exchanging complex information and collaborating closely with core business activities. The quality and timeliness of your service will directly impact the effectiveness of your team and related teams. Responsibilities: - Work with large and complex data sets to evaluate, recommend, and support business strategies - Identify and compile data sets using tools such as SQL and Access to predict, improve, and measure key business outcomes - Document data requirements, collection, processing, cleaning, and exploratory analysis - Specialize in marketing, risk, digital, and AML fields - Evaluate risks in business decisions to safeguard Citigroup and ensure compliance with laws and regulations Qualifications: - 2-5 years of relevant experience - Proficiency in data retrieval and manipulation - Strong analytic and problem-solving skills - Experience in a quantitative field - Willingness to learn with a can-do attitude - Excellent communication and interpersonal skills - Ability to build partnerships with cross-functional leaders Education: - Bachelor's/University degree or equivalent experience This job description offers an overview of the role's responsibilities, with the possibility of additional duties as needed. Desired Skills (Good to have): - Marketing analytics experience - Familiarity with digital marketing and/or digital experience domains - Experience with Clickstream data and big data environments like Hadoop - Predictive modeling using Machine Learning techniques - Customer Journey analytics experience - Proficiency in Python, SQL, MS Excel, and PowerPoint - Exposure to journey analytics tools like ClickFox, BryterCX, or Pointillist - Experience in Hive Citigroup Inc. is an equal opportunity employer, providing career opportunities for qualified applicants. If you require accommodation due to a disability, please review the Accessibility at Citi guidelines.,

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. EY's Advisory Services is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional and technical capabilities and product knowledge. The financial services practice at EY offers integrated advisory services to financial institutions and other capital markets participants. Within EY's Advisory Practice, the Data and Analytics team solves big, complex issues and capitalizes on opportunities to deliver better working outcomes that help expand and safeguard businesses, now and in the future. This way, we help create a compelling business case for embedding the right analytical practice at the heart of clients" decision-making. We're looking for Senior and Manager Big Data Experts with expertise in the Financial Services domain and hands-on experience with the Big Data ecosystem. Expertise in Data engineering, including design and development of big data platforms. Deep understanding of modern data processing technology stacks such as Spark, HBase, and other Hadoop ecosystem technologies. Development using SCALA is a plus. Deep understanding of streaming data architectures and technologies for real-time and low-latency data processing. Experience with agile development methods, including core values, guiding principles, and key agile practices. Understanding of the theory and application of Continuous Integration/Delivery. Experience with NoSQL technologies and a passion for software craftsmanship. Experience in the Financial industry is a plus. Nice to have skills include understanding and familiarity with all Hadoop Ecosystem components, Hadoop Administrative Fundamentals, experience working with NoSQL in data stores like HBase, Cassandra, MongoDB, HDFS, Hive, Impala, schedulers like Airflow, Nifi, experience in Hadoop clustering, and Auto scaling. Developing standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis. Defining and developing client-specific best practices around data management within a Hadoop environment on Azure cloud. To qualify for the role, you must have a BE/BTech/MCA/MBA degree, a minimum of 3 years hands-on experience in one or more relevant areas, and a total of 6-10 years of industry experience. Ideally, you'll also have experience in Banking and Capital Markets domains. Skills and attributes for success include using an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates, strong communication, presentation and team building skills, experience in producing high-quality reports, papers, and presentations, and experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint. A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment, an opportunity to be a part of a market-leading, multi-disciplinary team of 1400+ professionals, in the only integrated global transaction business worldwide, and opportunities to work with EY Advisory practices globally with leading businesses across a range of industries. Working at EY offers inspiring and meaningful projects, education and coaching alongside practical experience for personal development, support, coaching, and feedback from engaging colleagues, opportunities to develop new skills and progress your career, freedom and flexibility to handle your role in a way that's right for you. 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.,

You will be responsible for big data development and support for production deployed applications, analyzing business and functional requirements for completeness, and developing code with minimum supervision. Working collaboratively with team members, you will ensure accurate and timely communication and delivery of assigned tasks to guarantee the end-products" performance upon release to production. Handling software defects or issues within production timelines and SLA is a key aspect of the role. Your responsibilities will include authoring test cases within a defined testing strategy, participating in test strategy development for Configuration and Custom reports, creating test data, assisting in code merge peer reviews, reporting status and progress to stakeholders, and providing risk assessment throughout development cycles. You should have a strong understanding of system and big data strategies/approaches adopted by IQVIA, stay updated on software applications development industry knowledge, and be open to production support roles within the project. To excel in this role, you should have 5-8 years of overall experience, with at least 2-3 years in Big Data, proficiency in Big Data Technologies such as HDFS, Hive, Pig, Sqoop, HBase, and Oozie, strong experience in SQL Queries and Airflow, familiarity with PSql, CI-CD, Jenkins, and UNIX commands, excellent communication skills, comprehensive skills, good confidence level, proven analytical, logical, and problem-solving techniques. Experience in Spark Application Development, ETL, and ELT tools is preferred. Possessing fine-tuned analytical skills, attention to detail, and the ability to work effectively with colleagues from diverse backgrounds is essential. The minimum educational requirement for this position is a Bachelor's Degree in Information Technology or a related field, along with 5-8 years of development experience or an equivalent combination of education, training, and experience. IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence, facilitating the acceleration of innovative medical treatments" development and commercialization to enhance patient outcomes and population health worldwide. To learn more, visit https://jobs.iqvia.com.,

The Data Analytics Intmd Analyst position is ideal for a developing professional who can independently handle most problems and has the flexibility to solve complex issues. By merging in-depth specialty area knowledge with a strong understanding of industry standards and practices, you will contribute towards achieving the objectives of the subfunction/job family. Your role will involve applying analytical thinking and utilizing data analysis tools and methodologies to make informed judgments and recommendations based on factual information. Your responsibilities will include integrating in-depth data analysis knowledge with industry standards, understanding how data analytics teams collaborate with others to achieve objectives, applying project management skills, and utilizing analytical thinking for accurate judgments and recommendations. You will also be expected to break down information systematically, communicate effectively, and ensure the quality and timeliness of service provided by the team. As an Intmd Analyst, you will be required to provide informal guidance or on-the-job training to new team members, assess risks when making business decisions, and prioritize the firm's reputation and compliance with laws and regulations. Your expertise in Hadoop, Python, Spark, Hive, RDBMS, and Scala, along with knowledge of statistical modeling tools for large data sets, will be crucial for success in this role. To qualify for this position, you should have at least 5 years of relevant experience, strong expertise in the mentioned technologies, and the ability to effectively use complex analytical, interpretive, and problem-solving techniques. Excellent interpersonal, verbal, and written communication skills are also essential. A Bachelor's/University degree or equivalent experience is required for this role. This job description provides an overview of the primary duties involved, and additional responsibilities may be assigned as needed. Citi is an equal opportunity and affirmative action employer, offering a full-time position in the Technology job family group, specifically in Data Analytics. If you are a person with a disability and require accommodations to apply for a career opportunity at Citi, please review the Accessibility at Citi guidelines.,

You should possess a Bachelor's degree along with a minimum of 5-7 years of practical experience in data analytics. An MBA or a Master's degree in a quantitative field like Economics, Statistics, Engineering, or IT would be advantageous. Your expertise in product analytics and/or marketing analytics, especially in B2C, B2B, and eCommerce, will be highly valued. Proficiency in querying (SQL/Hive) for data extraction, stitching, and analysis/interpretation is essential. Experience with web analytics tools such as Adobe Analytics (AA) and Customer journey analytics (CJA) is preferred. Additionally, familiarity with data science modelling and Python for automation is desirable. Your background should include previous exposure to A/B and multivariate testing, conversion rate optimization, design of experiments, and the mathematics of statistical hypothesis testing. You should be capable of deriving meaningful business insights from multiple tests, possess knowledge of test design, and have the ability to integrate disparate data sources (web, product, financial, etc.). Strong written and oral communication skills are a must, including the ability to translate large complex datasets into actionable insights and present them clearly to various stakeholders. You should also excel in project management, setting and achieving goals, meeting deadlines, and multitasking in a matrixed environment. Experience with Jira is a plus. Collaboration skills are essential as you'll be expected to work effectively in a team setting. Creativity, curiosity, and continuous learning are encouraged in your career growth journey at Adobe. Make sure to update your Resume/CV and Workday profile, highlighting your unique Adobe experiences and volunteer work. Explore internal mobility opportunities through Inside Adobe and prepare for interviews with the provided tips. Once you apply for a role via Workday, the Talent Team will contact you within 2 weeks. If you progress to the official interview stage with the hiring team, inform your manager to support your career growth. At Adobe, you will thrive in a renowned work environment and be part of a community dedicated to mutual growth through ongoing feedback. Join us if you seek to make a difference and discover the meaningful benefits we offer. If you require accommodation during the application process, please reach out to accommodations@adobe.com.,