3423 Databricks Jobs

Role : Developer Location: Pune Hybrid Excellent Communication skills NP: Immediate Joiners to 1 month 9 (Only serving NP candidates apply) Exp: 3 to 9 yrs All Mandatory Skills : ( Must be in the roles and responsibilities) Data Platform Java Python Spark Kafka Cloud technologies (Azure / AWS) Databricks Interested Candidate Share Resume at dipti.bhaisare@in.experis.com

Please Note - NP should be 0-15 days Looking for 10+ Y / highly experienced and deeply hands-on Data Architect to lead the design, build, and optimization of our data platforms on AWS and Databricks. This role requires a strong blend of architectural vision and direct implementation expertise, ensuring scalable, secure, and performant data solutions from concept to production. Strong hand on exp in data engineering/architecture, hands-on architectural and implementation experience on AWS and Databricks, Schema modeling . AWS: Deep hands-on expertise with key AWS data services and infrastructure. Databricks: Expert-level hands-on development with Databricks (Spark SQL, PySpark), Delta Lake, and Unity Catalog. Coding: Exceptional proficiency in Python , Pyspark , Spark , AWS Services and SQL. Architectural: Strong data modeling and architectural design skills with a focus on practical implementation. Preferred: AWS/Databricks certifications, experience with streaming technologies, and other data tools. Design & Build: Lead and personally execute the design, development, and deployment of complex data architectures and pipelines on AWS (S3, Glue, Lambda, Redshift, etc.) and Databricks (PySpark/Spark SQL, Delta Lake, Unity Catalog). Databricks Expertise: Own the hands-on development, optimization, and performance tuning of Databricks jobs, clusters, and notebooks.

We are looking for an experienced Full Stack .NET Developer to join our team for a 6-month engagement. The role involves building scalable and efficient web and mobile applications while leveraging cutting-edge technologies. Key responsibilities include designing, coding, testing, and deploying full-stack solutions with a focus on performance and scalability. Candidates should have hands-on experience with .NET 8, Azure, and ReactJS on the frontend, along with tools like Tailwind CSS and Azure SQL for database management. Knowledge of Python, PowerBI, and Databricks is a plus. Experience in logistics is preferred but not mandatory. Strong communication skills and the ability to work independently are essential. Candidates should be prepared to take a code challenge during the interview process. Skills : - .NET 8, Azure, ReactJS, Tailwind CSS,Power BI, .NET 8, Azure, C#, ReactJS, Tailwind CSS, Azure SQL, Python, PowerBI, Databricks, PowerApps, React Native, Sitecore, Tridion, WordPress, Full Stack Developer, Scalable Applications Location : - Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Must Have Skills: 4+ years of experience in data engineering, with a focus on big data technologies (e.g., Spark, Kafka) 2+ years of Databricks experience is must Strong understanding of data architecture, ETL processes, and data warehousing Proficiency in programming languages such as Python or Java Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data tools Excellent communication, interpersonal, and leadership skills Ability to work in a fast-paced environment and manage multiple priorities Preferred candidate profile Solid written, verbal, and presentation communication skills Strong team and individual player Maintains composure during all types of situations and is collaborative by nature High standards of professionalism, consistently producing high-quality results Self-sufficient, independent requiring very little supervision or intervention Demonstrate flexibility and openness to bring creative solutions to address issues

About the Role We are looking for a Staff Engineer specialized in Master Data Management to design and develop our next-generation MDM platform. This role is ideal for engineers who have created or contributed significantly to MDM solutions. Youll lead the architecture and development of our core MDM engine, focusing on data modeling, matching algorithms, and governance workflows that enable our customers to achieve a trusted, 360-degree view of their critical business data. A Day in the Life Collaborate with data scientists, product managers, and engineering teams to define system architecture and design. Architect and develop scalable, fault-tolerant MDM platform components that handle various data domains. Design and implement sophisticated entity matching and merging algorithms to create golden records across disparate data sources. Develop or Integrate flexible data modeling frameworks that can adapt to different industries and use cases. Create robust data governance workflows, including approval processes, audit trails, and role-based access controls. Build data quality monitoring and remediation capabilities into the MDM platform. Collaborate with product managers, solution architects, and customers to understand industry-specific MDM requirements. Develop REST APIs and integration patterns for connecting the MDM platform with various enterprise systems. Mentor junior engineers and promote best practices in MDM solution development. Lead technical design reviews and contribute to the product roadmap What You Need 8+ years of software engineering experience, with at least 5 years focused on developing master data management solutions or components. Proven experience creating or significantly contributing to commercial MDM platforms, data integration tools, or similar enterprise data management solutions. Deep understanding of MDM concepts including data modeling, matching/merging algorithms, data governance, and data quality management. Strong expertise in at least one major programming language such as Java, Scala, Python, or Go. Experience with database technologies including relational (Snowflake, Databricks, PostgreSQL) and NoSQL systems (MongoDB, Elasticsearch). Knowledge of data integration patterns and ETL/ELT processes. Experience designing and implementing RESTful APIs and service-oriented architectures. Understanding of cloud-native development and deployment on AWS, or Azure. Familiarity with containerization (Docker) and orchestration tools (Kubernetes). Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ). Strong understanding of data security and privacy considerations, especially for sensitive master data. Bachelors or Masters degree in Computer Science, Information Systems, or related field.

Job Description: We are looking for energetic, self-motivated and exceptional Data engineer to work on extraordinary enterprise products based on AI and Big Data engineering leveraging AWS/Databricks tech stack. He/she will work with star team of Architects, Data Scientists/AI Specialists, Data Engineers and Integration. Skills and Qualifications: 5+ years of experience in DWH/ETL Domain; Databricks/AWS tech stack 2+ years of experience in building data pipelines with Databricks/ PySpark /SQL Experience in writing and interpreting SQL queries, designing data models and data standards. Experience in SQL Server databases, Oracle and/or cloud databases. Experience in data warehousing and data mart, Star and Snowflake model. Experience in loading data into database from databases and files. Experience in analyzing and drawing design conclusions from data profiling results. Understanding business process and relationship of systems and applications. Must be comfortable conversing with the end-users. Must have ability to manage multiple projects/clients simultaneously. Excellent analytical, verbal and communication skills. Role and Responsibilities: Work with business stakeholders and build data solutions to address analytical & reporting requirements. Work with application developers and business analysts to implement and optimise Databricks/AWS-based implementations meeting data requirements. Design, develop, and optimize data pipelines using Databricks (Delta Lake, Spark SQL, PySpark), AWS Glue, and Apache Airflow Implement and manage ETL workflows using Databricks notebooks, PySpark and AWS Glue for efficient data transformation Develop/ optimize SQL scripts, queries, views, and stored procedures to enhance data models and improve query performance on managed databases. Conduct root cause analysis and resolve production problems and data issues. Create and maintain up to date documentation of the data model, data flow and field level mappings. Provide support for production problems and daily batch processing. Provide ongoing maintenance and optimization of database schemas, data lake structures (Delta Tables, Parquet), and views to ensure data integrity and performance

JD (Job Description) for Solutions Architect for Provider 360 – C2 role About EXL Health Payments Analytics At EXL Health Payments Analytics Center of Excellence, we are looking for passionate individuals with growth/startup mindset to experiment, fail fast, learn and contribute to our 5 fold growth story of $200M to $1B EXL is considered Special investigation Unit by 6 of top 10 US health insurance companies (~1/3rd US healthcare data is handled by us) helping with error/overpayment detection of the hospital/doctor claims. Unlike typical services and consulting companies we make our revenue from the savings we identify for the client(Commission/Outcome basis). We Productize algorithms and R&D accelerators that are intended to be used across multiple health insurance clients for the above business case. So Expect An Ecosystem That Has Massive Data Assets (Millions of structured data and thousands of unstructured records processed monthly) Tech investment (On Prem GPUs, Azure, AWS, Databricks, On Prem- Hadoop-Hive, Hive etc) Leadership push to Digitization, Data-led decisions and AI 100+ members Analytics team of data enthusiasts, decision scientists and Business/Subject matter experts. Our Typical Day Monitoring business performance and operations – Problem solve by applying the different analytics levers or involving different teams doing -- ML models, SQL rules, Hospital Profiling, Pattern Mining etc to meet client savings target. The Analytics teams acts as the R&D and Operational excellence team who constantly find new patterns through all the state of art libraries, technologies from SQL queries to LLM agents. About The Role We are looking for a Self driven Analytics Consultant to join our team of data and domain enthusiasts in Health Care payment integrity. you will get an opportunity to work with various payers and providers and get to know how we reduce provider abrasion and help provider engagement with our innovative and highly scalable solutions. Responsibilities Ø Ability to design data driven solutions and Frameworks (Descriptive and Predictive) from scratch & consult in a leadership capacity on potential Solutions/Storyboards and POCs Ø Drives business metrics that add to the top-line and/or profitability Ø Perform quantitative and qualitative analysis like (r aw) data analysis, data deep-dives etc. to acquire insights from data Ø Develops Descriptive (reporting) through to Prescriptive Analytics for business monitoring and operational excellence Ø Translates data insights with business stakeholders to communicate and get equivalent business context Ø Applies next-gen technology to all parts of the analytics lifecycle from data extraction, exploratory data analysis, Data Mining and information extraction from unstructured data to visualization & story boarding Ø Manages a small team of data analyst Skillsets >7 yrs. of experience in the field of Strategy and Business Optimization background Post Graduate or MBA (preferred) OR Graduates in Engineering / Mathematics / Operations Research / Science / Statistics Experience in the healthcare industry is preferred. With atleast 7+ years’ experience in analytics using SQL,SAS, Python, basic statistical concepts and analyzing data & interpreting results to the business Ability to translate and structure business problems to deliver technical solutions Proven experience working in a fast-paced environment supporting multiple concurrent projects Collaborative and team player Desire to work within a fast-paced environment Ability to work in a team environment and be flexible in taking on various projects

What You'll Do Lead the transition to RBAC across Oracle HCM (Core HR, Payroll, Absence, Time, Talent) and downstream systems with complex integrations. Architect an end-to-end access governance framework , covering application, integration, and data warehouse layers — including Databricks, OAC/OTBI, and 3rd-party data hubs. Define and standardize personas, access tiers, and Areas of Responsibility (AOR) with business process owners. Partner with data platform and analytics teams to align access policies across structured/unstructured data sources used for reporting, workforce intelligence, and ML. Integrate security policies with Okta and identity management tools , ensuring consistent enforcement across apps and data endpoints. Enable secure self-service analytics by implementing column- and row-level security within platforms like OTBI and Databricks, ensuring compliance with SOX, GDPR, and HIPAA. Manage security lifecycle for Oracle HCM and connected platforms: provisioning, auditing, change control, and SoD enforcement. Serve as the employee & candidate data access security authority , participating in solution design, release planning, and cross-functional governance reviews, consulting with legal, HRBPs, comms, and engineering security where applicable Basic Qualifications 10+ years of experience in enterprise security, application governance, or architecture roles with deep expertise in Oracle Fusion HCM and SaaS integration landscapes. Proven experience designing and implementing enterprise RBAC frameworks , with hands-on involvement across apps and data layers. Deep understanding of big data platforms (Databricks, Snowflake, etc.) and how access, classification, and lineage apply in modern data environments. Experience with analytics platform security including OTBI, OAC, and integration with business intelligence tools. Familiarity with identity federation and access policy integration via Okta, Azure AD, or similar tools. Strong understanding of compliance frameworks (SOX, GDPR, HIPAA) and ability to translate policies into technical access controls. Skilled communicator, capable of aligning technical security strategy with business priorities and presenting to senior leadership. Preferred Qualifications Experience with multi-phase Oracle HCM deployments or Workday-to-Oracle transitions. Exposure to data mesh or federated data ownership models . Background in data pipeline security and governance , especially in Databricks, Spark, or similar platforms. Strong knowledge of RACI, persona-based design , and data domain ownership strategies in global organizations. Demonstrated ability to build security into the SDLC , with tools and controls supporting agile SaaS environments.

About the Role: Grade Level (for internal use): 10 The Team: We seek a highly motivated, enthusiastic, and skilled engineer for our Industry Data Solutions Team. We strive to deliver sector-specific, data-rich, and hyper-targeted solutions for evolving business needs. You will be expected to participate in the design review process, write high-quality code, and work with a dedicated team of QA Analysts and Infrastructure Teams. The Impact: Enterprise Data Organization is seeking a Software Developer to create software design, development, and maintenance for data processing applications. This person would be part of a development team that manages and supports the internal & external applications that is supporting the business portfolio. This role expects a candidate to handle any data processing, big data application development. We have teams made up of people that learn how to work effectively together while working with the larger group of developers on our platform. What’s in it for you: Opportunity to contribute to the development of a world-class Platform Engineering team . Engage in a highly technical, hands-on role designed to elevate team capabilities and foster continuous skill enhancement. Be part of a fast-paced, agile environment that processes massive volumes of data—ideal for advancing your software development and data engineering expertise while working with a modern tech stack. Contribute to the development and support of Tier-1, business-critical applications that are central to operations. Gain exposure to and work with cutting-edge technologies, including AWS Cloud and Databricks . Grow your career within a globally distributed team , with clear opportunities for advancement and skill development. Responsibilities: Design and develop applications, components, and common services based on development models, languages, and tools, including unit testing, performance testing, and monitoring, and implementation Support business and technology teams as necessary during design, development, and delivery to ensure scalable and robust solutions Build data-intensive applications and services to support and enhance fundamental financials in appropriate technologies.( C#, .Net Core, Databricsk, Spark ,Python, Scala, NIFI , SQL) Build data modeling, achieve performance tuning and apply data architecture concepts Develop applications adhering to secure coding practices and industry-standard coding guidelines, ensuring compliance with security best practices (e.g., OWASP) and internal governance policies. Implement and maintain CI/CD pipelines to streamline build, test, and deployment processes; develop comprehensive unit test cases and ensure code quality Provide operations support to resolve issues proactively and with utmost urgency Effectively manage time and multiple tasks Communicate effectively, especially in writing, with the business and other technical groups Basic Qualifications: Bachelor's/Master’s Degree in Computer Science, Information Systems or equivalent. Minimum 5 to 8 years of strong hand-development experience in C#, .Net Core, Cloud Native, MS SQL Server backend development. Proficiency with Object Oriented Programming. Nice to have knowledge in Grafana, Kibana, Big data, Kafka, Git Hub, EMR, Terraforms, AI-ML Advanced SQL programming skills Highly recommended skillset in Databricks , SPARK , Scala technologies. Understanding of database performance tuning in large datasets Ability to manage multiple priorities efficiently and effectively within specific timeframes Excellent logical, analytical and communication skills are essential, with strong verbal and writing proficiencies Knowledge of Fundamentals, or financial industry highly preferred. Experience in conducting application design and code reviews Proficiency with following technologies: Object-oriented programming Programing Languages (C#, .Net Core) Cloud Computing Database systems (SQL, MS SQL) Nice to have: No-SQL (Databricks, Spark, Scala, python), Scripting (Bash, Scala, Perl, Powershell) Preferred Qualifications: Hands-on experience with cloud computing platforms including AWS , Azure , or Google Cloud Platform (GCP) . Proficient in working with Snowflake and Databricks for cloud-based data analytics and processing. 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. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316914 Posted On: 2025-06-23 Location: Hyderabad, Telangana, India

Company Description Forbes Advisor i s a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We believe in the power of entrepreneurial capitalism and use it on various platforms to ignite the conversations that drive systemic change in business, culture, and society. We celebrate success and are committed to using our megaphone to drive diversity, equity and inclusion. We are the world’s biggest business media brand and we consistently place in the top 20 of the most popular sites in the United States, in good company with brands like Netflix, Apple and Google. In short, we have a big platform and we use it responsibly. Job Description The Data Research Engineering Team is a brand new team with the purpose of managing data from acquisition to presentation, collaborating with other teams while also operating independently. Their responsibilities include acquiring and integrating data, processing and transforming it, managing databases, ensuring data quality, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Data Research Engineer- Team Lead will involve guiding team members through code standards, optimization techniques, and best practices in debugging and testing. They oversee the development and consistent application of testing protocols, including unit, integration, and performance testing, ensuring a high standard of code quality across the team. They work closely with engineers, offering technical mentorship in areas like Git version control, task tracking, and documentation processes, as well as advanced Python and database practices. Responsibilities Technical Mentorship and Code Quality: Guide and mentor team members on coding standards, optimization techniques, and debugging. Conduct thorough code reviews, provide constructive feedback, and enforce code quality standards to ensure maintainable and efficient code. Testing and Quality Assurance Leadership: Develop, implement, and oversee rigorous testing protocols, including unit, integration, and performance testing, to guarantee the reliability and robustness of all projects. Advocate for automated testing and ensure comprehensive test coverage within the team. Process Improvement and Documentation: Establish and maintain high standards for version control, documentation, and task tracking across the team. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Serve as the team’s primary resource for troubleshooting complex issues, particularly in Python, MySQL, GitKraken, and Knime. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including architecture design, data engineering best practices, and advanced Python programming. Guide the team in building scalable and reliable data solutions. Cross-Functional Collaboration: Work closely with data scientists, product managers, and quality assurance teams to align on data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging data engineering methodologies and best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement, and maintain scalable data pipelines for efficient data transfer, cleaning, normalization, transformation, aggregation, and visualization to support production-level workloads. Big Data: Leverage distributed processing frameworks such as PySpark and Kafka to manage and process massive datasets efficiently. Cloud-Native Data Solutions: Develop and optimize workflows for cloud-native data solutions, including BigQuery, Databricks, Snowflake, Redshift, and tools like Airflow and AWS Glue. Regulations: Ensure compliance with regulatory frameworks like GDPR and implement robust data governance and security measures. Skills and Experience Experience : 8 + years Technical Proficiency: Programming: Expert-level skills in Python, with a strong understanding of code optimization, debugging, and testing. Object-Oriented Programming (OOP) Expertise: Strong knowledge of OOP principles in Python, with the ability to design modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Management: Proficient in MySQL and database design, with experience in creating efficient data pipelines and workflows. Tools: Advanced knowledge of Git and GitKraken for version control, with experience in task management, ideally on GitHub. Familiarity with Knime or similar data processing tools is a plus. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Ability to embed automated testing within development workflows. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Problem-Solving Skills: Ability to handle complex technical issues and serve as a key resource for team troubleshooting. Expertise in guiding others through debugging and technical problem-solving. Strong Communication Skills: Effective communicator capable of aligning cross-functional teams on project requirements, technical standards, and data workflows. Adaptability and Continuous Learning: A commitment to staying updated with the latest in data engineering, coding practices, and tools, with a proactive approach to learning and sharing knowledge within the team. Data Pipelines: Comprehensive expertise in building and optimizing data pipelines, including data transfer, transformation, and visualization, for real-world applications. Distributed Systems: Strong knowledge of distributed systems and big data tools such as PySpark and Kafka. Data Warehousing: Proficiency with modern cloud data warehousing platforms (BigQuery, Databricks, Snowflake, Redshift) and orchestration tools (Airflow, AWS Glue). Regulations: Demonstrated understanding of regulatory compliance requirements (e.g., GDPR) and best practices for data governance and security in enterprise settings Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Consumption Adoption Analyst The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview As the Consumption Adoption Analyst, you will focus on driving innovation through data analytics and insights, engaging in requirement gathering, and building business intelligence front ends while creating and managing semantic models. You will also conduct training sessions for end-users, developers, and administrators to ensure successful project implementation and user adoption. Your ability to collaborate within a matrix structure will be key as you report to both functional and product managers. What Will You Do In This Role Involves requirement gathering, discovery, estimation, and building business intelligence front ends and database-related back-end work. Delivers various types of trainings for end-users, developers, admins and conducts support activities for the projects delivered. Contribute to adoption of existing Technology Engineering community practices within the products where you work. Work within a matrix organizational structure, reporting to both the functional manager and the Product manager. What Should You Have Bachelor’s degree in information technology, Computer Science or any Technology stream. 4+ years of hands-on experience working with the following or similar technologies – Power BI, ThoughtSpot, Data Modeling, SQL knowledge, and cloud data ware/lake houses like Databricks, AWS Redshift, etc. Communication Effective communication at different levels, including supporting development work, hypercare, trainings, user onboardings, and requirements gathering with senior people. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Client Counseling, Emerging Technologies, Operational Acceptance Testing (OAT), Product Management, Requirements Management, Solution Architecture, Stakeholder Relationship Management, Technical Advice, User Experience (UX) Design, Waterfall Model Preferred Skills Job Posting End Date 08/13/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R350691

Job Title: Senior Data Engineer – Azure | ADF | Databricks | PySpark | AWS Location: Bangalore, Hyderabad, Chennai (Hybrid Mode) Experience Required: 5+ Years Notice Period: Immediate Job Description We are looking for a Senior Data Engineer who is passionate about designing and developing scalable data pipelines, optimizing data architecture, and working with advanced big data tools and cloud platforms. This is a great opportunity to be a key player in transforming data into meaningful insights by leveraging modern data engineering practices on Azure, AWS, and Databricks . You will be working with cross-functional teams including data scientists, analysts, and software engineers to deliver robust data solutions. The ideal candidate will be technically strong in Azure Data Factory, PySpark, Databricks, and AWS services , and will have experience in building end-to-end ETL workflows and driving business impact through data. Key Responsibilities Design, build, and maintain scalable and reliable data pipelines and ETL workflows Implement data ingestion and transformation using Azure Data Factory (ADF) and Azure Databricks (PySpark) Work across multiple data platforms including Azure, AWS, Snowflake, and Redshift Collaborate with data scientists and business teams to understand data needs and deliver solutions Optimize data storage, processing, and retrieval for performance and cost-effectiveness Develop data quality checks and monitoring frameworks for pipeline health Ensure data governance, security, and compliance with industry standards Lead code reviews, set data engineering standards, and mentor junior team members Propose and evaluate new tools and technologies for continuous improvement Must-Have Skills Strong programming skills in Python , SQL , or Scala Azure Data Factory , Azure Databricks , Synapse Analytics Hands-on with PySpark , Spark, Hadoop, Hive Experience with cloud platforms (Azure preferred; AWS/GCP acceptable) Data Warehousing: Snowflake , Redshift , BigQuery Strong ETL/ELT pipeline development experience Workflow orchestration tools such as Airflow , Prefect , or Luigi Excellent problem-solving, debugging, and communication skills Nice to Have Experience with real-time streaming tools (Kafka, Flink, Spark Streaming) Exposure to data governance tools and regulations (GDPR, HIPAA) Familiarity with ML model integration into data pipelines Containerization and CI/CD exposure: Docker, Git, Kubernetes (basic) Experience with Vector databases and unstructured data handling Technical Environment Programming: Python, Scala, SQL Big Data Tools: Spark, Hadoop, Hive Cloud Platforms: Azure (ADF, Databricks, Synapse), AWS (S3, Glue, Lambda), GCP Data Warehousing: Snowflake, Redshift, BigQuery Databases: PostgreSQL, MySQL, MongoDB, Cassandra Orchestration: Apache Airflow, Prefect, Luigi Tools: Git, Docker, Azure DevOps, CI/CD pipelines Soft Skills Strong analytical thinking and problem-solving abilities Excellent verbal and written communication Collaborative team player with leadership qualities Self-motivated, organized, and able to manage multiple projects Education & Certifications Bachelor’s or Master’s Degree in Computer Science, IT, Engineering, or equivalent Cloud certifications (e.g., Microsoft Azure Data Engineer, AWS Big Data) are a plus Key Result Areas (KRAs) Timely delivery of high-performance data pipelines Quality of data integration and governance compliance Business team satisfaction and data readiness Proactive optimization of data processing workloads Key Performance Indicators (KPIs) Pipeline uptime and performance metrics Reduction in overall data latency Zero critical issues in production post-release Stakeholder satisfaction score Number of successful integrations and migrations Job Types: Full-time, Permanent Pay: ₹1,559,694.89 - ₹2,441,151.11 per year Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Application Question(s): What is your notice period in days? Experience: Azure Data Factory, Azure Databricks, Synapse Analytics: 5 years (Required) Python, SQL, or Scala: 5 years (Required) Work Location: In person

JOB DESCRIPTION If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. As a Director of Software Engineering at JPMorgan Chase within Corporate Technology, you will lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery. Job responsibilities: Lead the transformation of firm’s Interest Rate Risk platform as an integrated risk data capture, aggregation, calculation, and reporting platform, leveraging the firm’s risk models for measuring interest rate risk. Develop and uphold data architecture standards, including interfaces, reliability, and governance frameworks, while enhancing the platform’s data sourcing, orchestration, and reporting capabilities. Evaluate innovative technologies that will drive the success of the "Next Generation" Interest Rate Risk Platform. Work closely with stakeholders, technology leads, Treasury, and CIO teams to align technology solutions with business needs. Oversee strategies to ensure data accuracy, security, and accessibility for Treasury and CIO teams by implementing data governance and security measures to maintain data quality and compliance. Ensure the architecture boosts performance, scalability, and reliability of data processes. Collaborate with domain teams to guide data product development best practices. Leverage AWS, Databricks, and other approved technologies for scalable and secure data solutions. Design integration strategies for seamless data flow between Treasury, CIO systems, and enterprise applications. Lead the development of architectural designs and scalable coding frameworks while optimizing the performance and scalability of data products and infrastructure. Provide expert advice on strategic technology choices, aligning with business goals and driving enhancements to achieve optimal target state architecture. Utilize technological solutions to engage in the investigation and remediation of critical issues across the CIO organization. Develop multi-year roadmaps aligned with business and architecture strategies. Serve as a subject matter expert, advising on complex technical issues and solutions. Champion high-quality software architecture, design, and development practices. Required qualifications, capabilities, and skills Formal training or certification in software engineering 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 experience in system design, application development, testing, and operational stability. Deep knowledge of data architecture, best practices, and industry trends. Expertise in one or more programming languages - Python and Java. Expert-level experience with AWS or other public cloud providers, as well as Databricks, Snowflake, Airflow, databases, and analytics. Proven influencer with a track record of successfully driving change across organizational boundaries. Strong communication skills for effectively engaging with senior leaders and executives. Advanced experience in leading technologists to solve complex technical challenges Preferred qualifications, capabilities and skills Experience in working on BI and AI/ML solutions with business stakeholders and data scientists is a plus. Knowledge of Finance and Treasury products is advantageous. 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 professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description Responsibilities: Research, design, develop, implement and test econometric, statistical, optimization and machine learning models. Design, write and test modules for Nielsen analytics platforms using Python, R, SQL and/or Spark. Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, StatsModels. Collaborate with cross functional Data Science, Product, and Technology teams to integrate best practices from across the organization Provide leadership and guidance for the team in the of adoption of new tools and technologies to improve our core capabilities Execute and refine the roadmap to upgrade the modeling/forecasting/control functions of the team to improve upon the core service KPI’s Ensure product quality, stability, and scalability by facilitating code reviews and driving best practices like modular code, unit tests, and incorporating CI/CD workflows Explain complex data science (e.g. model-related) concepts in simple terms to non-technical internal and external audiences Qualifications Key Skills: 5+ years of professional work experience in Statistics, Data Science, and/or related disciplines, with focus on delivering analytics software solutions in a production environment Strong programming skills in Python with experience in NumPy, Pandas, SciPy and Scikit-learn. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow, Keras). Solid understanding of Machine learning domains such as Computer Vision, Natural Language Processing and classical Machine Learning. Proficiency in SQL and NoSQL databases for large-scale data manipulation Experience with cloud-based ML services (AWS SageMaker, Databricks, GCP AI, Azure ML). Knowledge of model deployment (FastAPI, Flask, TensorRT, ONNX) MLOps tools (MLflow, Kubeflow, Airflow) and containerization. Preferred skills: Understanding of LLM fine-tuning, tokenization, embeddings, and multimodal learning. Familiarity with vector databases (FAISS, Pinecone) and retrieval-augmented generation (RAG). Familiarity with advertising intelligence, recommender systems, and ranking models. Knowledge of CI/CD for ML workflows, and software development best practices. Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job requisition ID :: 84163 Date: Jun 23, 2025 Location: Bengaluru Designation: Senior Consultant Entity: We are seeking a Senior Data Engineer with extensive experience in cloud platforms and data engineering tools, with a strong emphasis on Databricks. The ideal candidate will have deep expertise in designing and optimizing data pipelines, building scalable ETL workflows, and leveraging Databricks for advanced analytics and data processing. Experience with Google Cloud Platform is beneficial, particularly in integrating Databricks with cloud storage solutions and data warehouses such as BigQuery. The candidate should have a proven track record of working on data enablement projects across various data domains and be well-versed in the Data as a Product approach, ensuring data solutions are scalable, reusable, and aligned with business needs. Key Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks, ensuring efficient data ingestion, transformation, and processing. Implement and manage data storage solutions, including Delta Tables for structured storage and seamless data versioning. 5+ years of experience with cloud data services, with a strong focus on Databricks and its integration with Google Cloud Platform storage and analytics tools such as BigQuery. Leverage Databricks for advanced data processing, including the development and optimization of data workflows, Delta Live Tables, and ML-based data transformations. Monitor and optimize Databricks performance, focusing on cluster configurations, resource utilization, and Delta Table performance tuning. Collaborate with cross-functional teams to drive data enablement projects, ensuring scalable, reusable, and efficient solutions using Databricks. Apply the Data as a Product / Data as an Asset approach, ensuring high data quality, accessibility, and usability within Databricks environments. 5+ years of experience with analytical software and languages, including Spark (Databricks Runtime), Python, and SQL for data engineering and analytics. Should have strong expertise in Data Structures and Algorithms (DSA) and problem-solving, enabling efficient design and optimization of data workflows. Experienced in CI/CD pipelines using GitHub for automated data pipeline deployments within Databricks. Experienced in Agile/Scrum environments, contributing to iterative development processes and collaboration within data engineering teams. Experience in Data Streaming is a plus, particularly leveraging Kafka or Spark Structured Streaming within Databricks. Familiarity with other ETL/ELT tools is a plus, such as Qlik Replicate, SAP Data Services, or Informatica, with a focus on integrating these with Databricks. Qualifications: A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline. Over 5 years of hands-on experience in data engineering or a closely related field. Proven expertise in AWS and Databricks platforms. Advanced skills in data modeling and designing optimized data structures. Knowledge of Azure DevOps and proficiency in Scrum methodologies. Exceptional problem-solving abilities paired with a keen eye for detail. Strong interpersonal and communication skills for seamless collaboration. A minimum of one certification in AWS or Databricks, such as Cloud Engineering, Data Services, Cloud Practitioner, Certified Data Engineer, or an equivalent from reputable MOOCs.

JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Development experience in Python and DataBricks AIML Ops Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies AWS exposure, financial background, Credit risk knowledge. Knowledge of data & controls is a plus. Exposure to cloud technologies ABOUT US

Required Qualifications: Experience : 6-8 years of total experience in data engineering, with 3+ years of hands-on experience in Databricks , PySpark , and AWS . 3+ years of experience in Python and SQL for data engineering tasks. Experience working with cloud ETL services such as AWS Glue , GCP DataProc/DataFlow , Azure ADF and ADLF . Technical Skills : Strong proficiency in PySpark for large-scale data processing and transformation. Expertise in SQL , including window functions, for data manipulation and querying. Experience with cloud-based ETL tools (AWS Glue, GCP DataFlow , Azure ADF ) and understanding of their integration with cloud data platforms. Deep understanding of data schemas and models used across various business contexts. Familiarity with data warehousing optimization techniques , including partitioning, indexing, and query optimization. Knowledge of data security best practices (e.g., encryption, access control, and compliance). Agile Methodologies : Experience working in Agile (Scrum or Kanban) teams for iterative development and delivery. Communication : Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Skills Python,Databricks,Pyspark,Sql Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,100,000.00 per year Experience: Data Engineering: 6 years (Required) Databricks: 3 years (Required) Pyspark: 3 years (Required) AWS: 3 years (Required) Work Location: In person

About the Role: Grade Level (for internal use): 10 The Team: We seek a highly motivated, enthusiastic, and skilled engineer for our Industry Data Solutions Team. We strive to deliver sector-specific, data-rich, and hyper-targeted solutions for evolving business needs. You will be expected to participate in the design review process, write high-quality code, and work with a dedicated team of QA Analysts and Infrastructure Teams. The Impact: Enterprise Data Organization is seeking a Software Developer to create software design, development, and maintenance for data processing applications. This person would be part of a development team that manages and supports the internal & external applications that is supporting the business portfolio. This role expects a candidate to handle any data processing, big data application development. We have teams made up of people that learn how to work effectively together while working with the larger group of developers on our platform. What’s in it for you: Opportunity to contribute to the development of a world-class Platform Engineering team . Engage in a highly technical, hands-on role designed to elevate team capabilities and foster continuous skill enhancement. Be part of a fast-paced, agile environment that processes massive volumes of data—ideal for advancing your software development and data engineering expertise while working with a modern tech stack. Contribute to the development and support of Tier-1, business-critical applications that are central to operations. Gain exposure to and work with cutting-edge technologies, including AWS Cloud and Databricks . Grow your career within a globally distributed team , with clear opportunities for advancement and skill development. Responsibilities: Design and develop applications, components, and common services based on development models, languages, and tools, including unit testing, performance testing, and monitoring, and implementation Support business and technology teams as necessary during design, development, and delivery to ensure scalable and robust solutions Build data-intensive applications and services to support and enhance fundamental financials in appropriate technologies.( C#, .Net Core, Databricsk, Spark ,Python, Scala, NIFI , SQL) Build data modeling, achieve performance tuning and apply data architecture concepts Develop applications adhering to secure coding practices and industry-standard coding guidelines, ensuring compliance with security best practices (e.g., OWASP) and internal governance policies. Implement and maintain CI/CD pipelines to streamline build, test, and deployment processes; develop comprehensive unit test cases and ensure code quality Provide operations support to resolve issues proactively and with utmost urgency Effectively manage time and multiple tasks Communicate effectively, especially in writing, with the business and other technical groups Basic Qualifications: Bachelor's/Master’s Degree in Computer Science, Information Systems or equivalent. Minimum 5 to 8 years of strong hand-development experience in C#, .Net Core, Cloud Native, MS SQL Server backend development. Proficiency with Object Oriented Programming. Nice to have knowledge in Grafana, Kibana, Big data, Kafka, Git Hub, EMR, Terraforms, AI-ML Advanced SQL programming skills Highly recommended skillset in Databricks , SPARK , Scala technologies. Understanding of database performance tuning in large datasets Ability to manage multiple priorities efficiently and effectively within specific timeframes Excellent logical, analytical and communication skills are essential, with strong verbal and writing proficiencies Knowledge of Fundamentals, or financial industry highly preferred. Experience in conducting application design and code reviews Proficiency with following technologies: Object-oriented programming Programing Languages (C#, .Net Core) Cloud Computing Database systems (SQL, MS SQL) Nice to have: No-SQL (Databricks, Spark, Scala, python), Scripting (Bash, Scala, Perl, Powershell) Preferred Qualifications: Hands-on experience with cloud computing platforms including AWS , Azure , or Google Cloud Platform (GCP) . Proficient in working with Snowflake and Databricks for cloud-based data analytics and processing. 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. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316914 Posted On: 2025-06-23 Location: Hyderabad, Telangana, India

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. Digital Risk – Manager - Data Governance Key Responsibilities: The purpose of this role will be to build & enhance the data governance capabilities and supervise delivery, provide technical and project leadership to your team members, as well as build relationships with clients. While delivering quality client services and enabling high-performing teams, you will drive high-value work products within expected timeframes and budget. You will monitor progress, manage risks and ensure key stakeholders are kept informed about progress and expected outcomes. Additionally, you will: Foster an innovative and inclusive team-oriented work environment. Play an active role in counselling and mentoring junior consultants within the firm. Consistently deliver quality client services. Drive high-quality work products within expected timeframes and on budget. Monitor progress manage risk and ensure key stakeholders are kept informed about progress and expected outcomes. Use knowledge of the current IT environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations. Stay abreast of current business and industry trends relevant to the client's business. Foster relationships with client personnel to analyse, evaluate, and enhance information systems to develop and improve security at procedural and technology levels. Assist with cultivating and managing business development opportunities. Understand EY and its service lines and actively assess/present ways to serve clients. Demonstrate deep technical capabilities and professional knowledge. Demonstrate ability to quickly assimilate to new knowledge. Qualifications: Bachelor’s degree in Computer Science / Master's degree Computer Science, Information Management, Business Administration or a related field. Proven experience (6+ years) in data governance with hands-on experience with multiple disciplines within data management, such as Master Data Management Data Security Metadata Management Data Quality Management Business Intelligence Practical experience with DG, DMQ and MDM tools such as Informatica, Collibra, MS Purview and Databricks Unity Catalog. Good communication skills in English, both written and oral Ability to work collaboratively with stakeholders. Relevant certifications such as DAMA and DCAM 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.

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. Digital Risk – Manager - Data Governance Key Responsibilities: The purpose of this role will be to build & enhance the data governance capabilities and supervise delivery, provide technical and project leadership to your team members, as well as build relationships with clients. While delivering quality client services and enabling high-performing teams, you will drive high-value work products within expected timeframes and budget. You will monitor progress, manage risks and ensure key stakeholders are kept informed about progress and expected outcomes. Additionally, you will: Foster an innovative and inclusive team-oriented work environment. Play an active role in counselling and mentoring junior consultants within the firm. Consistently deliver quality client services. Drive high-quality work products within expected timeframes and on budget. Monitor progress manage risk and ensure key stakeholders are kept informed about progress and expected outcomes. Use knowledge of the current IT environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations. Stay abreast of current business and industry trends relevant to the client's business. Foster relationships with client personnel to analyse, evaluate, and enhance information systems to develop and improve security at procedural and technology levels. Assist with cultivating and managing business development opportunities. Understand EY and its service lines and actively assess/present ways to serve clients. Demonstrate deep technical capabilities and professional knowledge. Demonstrate ability to quickly assimilate to new knowledge. Qualifications: Bachelor’s degree in Computer Science / Master's degree Computer Science, Information Management, Business Administration or a related field. Proven experience (6+ years) in data governance with hands-on experience with multiple disciplines within data management, such as Master Data Management Data Security Metadata Management Data Quality Management Business Intelligence Practical experience with DG, DMQ and MDM tools such as Informatica, Collibra, MS Purview and Databricks Unity Catalog. Good communication skills in English, both written and oral Ability to work collaboratively with stakeholders. Relevant certifications such as DAMA and DCAM 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.

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. Digital Risk – Manager - Data Governance Key Responsibilities: The purpose of this role will be to build & enhance the data governance capabilities and supervise delivery, provide technical and project leadership to your team members, as well as build relationships with clients. While delivering quality client services and enabling high-performing teams, you will drive high-value work products within expected timeframes and budget. You will monitor progress, manage risks and ensure key stakeholders are kept informed about progress and expected outcomes. Additionally, you will: Foster an innovative and inclusive team-oriented work environment. Play an active role in counselling and mentoring junior consultants within the firm. Consistently deliver quality client services. Drive high-quality work products within expected timeframes and on budget. Monitor progress manage risk and ensure key stakeholders are kept informed about progress and expected outcomes. Use knowledge of the current IT environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations. Stay abreast of current business and industry trends relevant to the client's business. Foster relationships with client personnel to analyse, evaluate, and enhance information systems to develop and improve security at procedural and technology levels. Assist with cultivating and managing business development opportunities. Understand EY and its service lines and actively assess/present ways to serve clients. Demonstrate deep technical capabilities and professional knowledge. Demonstrate ability to quickly assimilate to new knowledge. Qualifications: Bachelor’s degree in Computer Science / Master's degree Computer Science, Information Management, Business Administration or a related field. Proven experience (6+ years) in data governance with hands-on experience with multiple disciplines within data management, such as Master Data Management Data Security Metadata Management Data Quality Management Business Intelligence Practical experience with DG, DMQ and MDM tools such as Informatica, Collibra, MS Purview and Databricks Unity Catalog. Good communication skills in English, both written and oral Ability to work collaboratively with stakeholders. Relevant certifications such as DAMA and DCAM 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.

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. Digital Risk – Manager - Data Governance Key Responsibilities: The purpose of this role will be to build & enhance the data governance capabilities and supervise delivery, provide technical and project leadership to your team members, as well as build relationships with clients. While delivering quality client services and enabling high-performing teams, you will drive high-value work products within expected timeframes and budget. You will monitor progress, manage risks and ensure key stakeholders are kept informed about progress and expected outcomes. Additionally, you will: Foster an innovative and inclusive team-oriented work environment. Play an active role in counselling and mentoring junior consultants within the firm. Consistently deliver quality client services. Drive high-quality work products within expected timeframes and on budget. Monitor progress manage risk and ensure key stakeholders are kept informed about progress and expected outcomes. Use knowledge of the current IT environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations. Stay abreast of current business and industry trends relevant to the client's business. Foster relationships with client personnel to analyse, evaluate, and enhance information systems to develop and improve security at procedural and technology levels. Assist with cultivating and managing business development opportunities. Understand EY and its service lines and actively assess/present ways to serve clients. Demonstrate deep technical capabilities and professional knowledge. Demonstrate ability to quickly assimilate to new knowledge. Qualifications: Bachelor’s degree in Computer Science / Master's degree Computer Science, Information Management, Business Administration or a related field. Proven experience (6+ years) in data governance with hands-on experience with multiple disciplines within data management, such as Master Data Management Data Security Metadata Management Data Quality Management Business Intelligence Practical experience with DG, DMQ and MDM tools such as Informatica, Collibra, MS Purview and Databricks Unity Catalog. Good communication skills in English, both written and oral Ability to work collaboratively with stakeholders. Relevant certifications such as DAMA and DCAM 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.

Role Description Role Proficiency: This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be skilled in ETL tools such as Informatica Glue Databricks and DataProc with coding expertise in Python PySpark and SQL. Works independently and has a deep understanding of data warehousing solutions including Snowflake BigQuery Lakehouse and Delta Lake. Capable of calculating costs and understanding performance issues related to data solutions. Outcomes Act creatively to develop pipelines and applications by selecting appropriate technical options optimizing application development maintenance and performance using design patterns and reusing proven solutions.rnInterpret requirements to create optimal architecture and design developing solutions in accordance with specifications. Document and communicate milestones/stages for end-to-end delivery. Code adhering to best coding standards debug and test solutions to deliver best-in-class quality. Perform performance tuning of code and align it with the appropriate infrastructure to optimize efficiency. Validate results with user representatives integrating the overall solution seamlessly. Develop and manage data storage solutions including relational databases NoSQL databases and data lakes. Stay updated on the latest trends and best practices in data engineering cloud technologies and big data tools. Influence and improve customer satisfaction through effective data solutions. Measures Of Outcomes Adherence to engineering processes and standards Adherence to schedule / timelines Adhere to SLAs where applicable # of defects post delivery # of non-compliance issues Reduction of reoccurrence of known defects Quickly turnaround production bugs Completion of applicable technical/domain certifications Completion of all mandatory training requirements Efficiency improvements in data pipelines (e.g. reduced resource consumption faster run times). Average time to detect respond to and resolve pipeline failures or data issues. Number of data security incidents or compliance breaches. Outputs Expected Code Development: Develop data processing code independently ensuring it meets performance and scalability requirements. Define coding standards templates and checklists. Review code for team members and peers. Documentation Create and review templates checklists guidelines and standards for design processes and development. Create and review deliverable documents including design documents architecture documents infrastructure costing business requirements source-target mappings test cases and results. Configuration Define and govern the configuration management plan. Ensure compliance within the team. Testing Review and create unit test cases scenarios and execution plans. Review the test plan and test strategy developed by the testing team. Provide clarifications and support to the testing team as needed. Domain Relevance Advise data engineers on the design and development of features and components demonstrating a deeper understanding of business needs. Learn about customer domains to identify opportunities for value addition. Complete relevant domain certifications to enhance expertise. Project Management Manage the delivery of modules effectively. Defect Management Perform root cause analysis (RCA) and mitigation of defects. Identify defect trends and take proactive measures to improve quality. Estimation Create and provide input for effort and size estimation for projects. Knowledge Management Consume and contribute to project-related documents SharePoint libraries and client universities. Review reusable documents created by the team. Release Management Execute and monitor the release process to ensure smooth transitions. Design Contribution Contribute to the creation of high-level design (HLD) low-level design (LLD) and system architecture for applications business components and data models. Customer Interface Clarify requirements and provide guidance to the development team. Present design options to customers and conduct product demonstrations. Team Management Set FAST goals and provide constructive feedback. Understand team members' aspirations and provide guidance and opportunities for growth. Ensure team engagement in projects and initiatives. Certifications Obtain relevant domain and technology certifications to stay competitive and informed. Skill Examples Proficiency in SQL Python or other programming languages used for data manipulation. Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF. Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery). Conduct tests on data pipelines and evaluate results against data quality and performance specifications. Experience in performance tuning of data processes. Expertise in designing and optimizing data warehouses for cost efficiency. Ability to apply and optimize data models for efficient storage retrieval and processing of large datasets. Capacity to clearly explain and communicate design and development aspects to customers. Ability to estimate time and resource requirements for developing and debugging features or components. Knowledge Examples Knowledge Examples Knowledge of various ETL services offered by cloud providers including Apache PySpark AWS Glue GCP DataProc/DataFlow Azure ADF and ADLF. Proficiency in SQL for analytics including windowing functions. Understanding of data schemas and models relevant to various business contexts. Familiarity with domain-related data and its implications. Expertise in data warehousing optimization techniques. Knowledge of data security concepts and best practices. Familiarity with design patterns and frameworks in data engineering. Additional Comments Tech skills Proficient in Python (Including popular python packages e.g. Pandas, NumPy etc.) and SQL Strong background in distributed data processing and storage (e.g. Apache Spark, Hadoop) Large scale (TBs of data) data engineering skills - Model data, create production ready ETL pipelines Development experience with at least one cloud (Azure high preference, AWS, GCP) Knowledge of data lake and data lake house patterns Knowledge of ETL performance tuning and cost optimization Knowledge of data structures and algorithms and good software engineering practices Soft skills Strong communication skills to articulate complex situation concisely Comfortable with picking up new technologies independently Eye for detail, good data intuition, and a passion for data quality Comfortable working in a rapidly changing environment with ambiguous requirements Skills Python,Sql,Aws,Azure

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. Digital Risk – Manager - Data Governance Key Responsibilities: The purpose of this role will be to build & enhance the data governance capabilities and supervise delivery, provide technical and project leadership to your team members, as well as build relationships with clients. While delivering quality client services and enabling high-performing teams, you will drive high-value work products within expected timeframes and budget. You will monitor progress, manage risks and ensure key stakeholders are kept informed about progress and expected outcomes. Additionally, you will: Foster an innovative and inclusive team-oriented work environment. Play an active role in counselling and mentoring junior consultants within the firm. Consistently deliver quality client services. Drive high-quality work products within expected timeframes and on budget. Monitor progress manage risk and ensure key stakeholders are kept informed about progress and expected outcomes. Use knowledge of the current IT environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations. Stay abreast of current business and industry trends relevant to the client's business. Foster relationships with client personnel to analyse, evaluate, and enhance information systems to develop and improve security at procedural and technology levels. Assist with cultivating and managing business development opportunities. Understand EY and its service lines and actively assess/present ways to serve clients. Demonstrate deep technical capabilities and professional knowledge. Demonstrate ability to quickly assimilate to new knowledge. Qualifications: Bachelor’s degree in Computer Science / Master's degree Computer Science, Information Management, Business Administration or a related field. Proven experience (6+ years) in data governance with hands-on experience with multiple disciplines within data management, such as Master Data Management Data Security Metadata Management Data Quality Management Business Intelligence Practical experience with DG, DMQ and MDM tools such as Informatica, Collibra, MS Purview and Databricks Unity Catalog. Good communication skills in English, both written and oral Ability to work collaboratively with stakeholders. Relevant certifications such as DAMA and DCAM 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.

Minimum of 5 to 6 years of experience in the following: Experience as Data Engineer in Azure Big Data Environment Experience in developing data pipelines using pyspark Programming experience in Python and SQL Experience in working with SSMS and SQL database Expertise to Implementing Data warehousing Solution Hands-on experience in Azure stack (Azure Data Lake Storage, Azure Databricks, Azure SQL) Good understanding of Azure Databricks platform and can build data analytics solutions and pipelines to support the required performance & scale Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment Experience in developing data pipelines using pyspark Good Communication and Interpersonal Skills Minimum of 5 to 6 years of experience in the following: Experience as Data Engineer in Azure Big Data Environment Experience in developing data pipelines using pyspark Programming experience in Python and SQL Experience in working with SSMS and SQL database Expertise to Implementing Data warehousing Solution Hands-on experience in Azure stack (Azure Data Lake Storage, Azure Databricks, Azure SQL) Good understanding of Azure Databricks platform and can build data analytics solutions and pipelines to support the required performance & scale Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment Experience in developing data pipelines using pyspark Good Communication and Interpersonal Skills