Vacancy description
JP Morgan Chase & Co.
India, Bengaluru
Lead Data Engineer SQL AWS in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorganChase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
Make data available for AI and analytics initiatives, working closely with use case owners to define requirements, manage product dependencies, and support agile product routines that oversee cross-product data dependencies and prioritize delivery
Collaborate with business, technology, and operations partners to understand data requests and accelerate provisioning through deployment of 'AI for Data'
Provide transparency and drive executive visibility into bottlenecks, progress, performance metrics, and adoption tracking in making AI-ready and critical data sources available for innovation
Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows
Lead data quality issue root cause analysis using deep data profiling and advanced analytics techniques, then fix the cause and embed uplifted evergreen controls to prevent future failures
Develop proactive controls to reduce the time from data quality issue identification to resolution, improving client experience and driving operational efficiency through elimination of cost of poor quality (COPQ)
Demonstrate control environment improvements and reduction in toil to achieve benefits through common tooling and frameworks. Uplift the metadata (semantic layer) of existing data ('Brownfield' enrichment) to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction from poor catalog quality, and deliver data product prototypes that demonstrate the value of uplifted data assets
Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Experience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation https://jobeax.com/link/LsX0MHwADPrlj8n9 technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, cloud platforms)
Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloging
Excellent communication skills with the ability to convey complex technical concepts to diverse audiences including executive leadership. Ability to work in a highly collaborative and intellectually challenging environment
Willingness to challenge the status quo, think creatively, problem-solve, and drive innovation
Experience with data quality frameworks, including profiling, rule development, issue remediation, and preventative controls
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements.
Strong proficiency in data science and analytics tools: Python, R, SQL, Spark, and cloud data platforms (AWS, Azure, GCP). Experience with data visualization and reporting tools (e.g., Tableau, Power BI) to deliver executive dashboards and performance metrics
Preferred qualifications, capabilities, and skills
Hands-on experience with data lineage tools and techniques, including graph databases and metadata management platforms. Knowledge of data governance frameworks, data quality dimensions, and regulatory requirements (e.g., BCBS 239, GDPR)
Experience with AI/ML technologies and their application to data management challenges (e.g., automated data profiling, metadata enrichment). Understanding of agile and product management methodologies and experience working in agile teams
Ability to multi-task in a fast-paced environment and operate independently with minimal https://jobeax.com/link/P7IbZBqM50jPDe9A judgment with the ability to balance strategic vision with pragmatic, incremental delivery
Experience building and growing capabilities and developing talent in data science or data management teams
Excellent interpersonal skills and ability to build strong working relationships with business, technology, and control stakeholders across global teams
Similar vacancies
Urban Company
... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...
India, Gurugram
Addepar
1400 / year
... product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, ...
India, Pune
Weekday AI
... dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - ...
India, Bengaluru
... demonstrate technical and non-technical information, ideas, procedures, and processes Prior experience in an SAP and/or Informatica driven environment Ability to use SQL to analyze data Bachelor's degree related to Information Systems, Business or other relevant academic discipline with a minimum 4 years job experience in IT or ...
India, Bengaluru
Applied Data Finance
... Modeling.- Data Platform Engineering : Apache Spark (PySpark), Python, Advanced SQL, ETL/ELT, Batch & Streaming Processing, Pipeline Design, Performance Tuning.- Data Integration : Apache Kafka, AWS DMS, REST APIs, CDC.- Metadata & Governance : Apache Atlas (preferred), Metadata Management, Data Catalog, Business Glossary, ...
India
Infinite Computer Solutions India Pvt. Ltd.
Job Description Data Ingestion Dev â€' LO / Lights-On Support Role OverviewFull-stack engineer supporting AWS-based data ingestion platform, focused on production stability, incident handling, and https://jobeax.com/link/fmLHLtcOCCQWBo1w ResponsibilitiesOwn L1/L2 production support for APIs, services, and data pipelinesMonitor ...
India, India
Appsierra Group
... to Java. Proficient in Spring, Spring Boot, Spring REST, Spring Cloud Config, and Spring WebFlux. Experience with Test Driven Development (TDD). Competent in SQL with RDBMS systems like Oracle, PostgreSQL, and MySQL. Familiarity with NoSQL databases, especially MongoDB or Cassandra, is a plus. Skilled in ORM frameworks ...
India, Noida
... Technology, or a related field. - 2 to 3 years of hands-on professional experience in data engineering or ETL development. - Strong proficiency in writing and tuning SQL queries across relational databases (e.g., PostgreSQL, MySQL, SQL Server). - Hands-on experience with core AWS cloud tools, specifically S3, Glue, and basic exposure ...
India
12k
... Boot, SQL/ MySQL/ MongoDB, Design and architectural patterns, Restful APIs, Docker/Kubernetes, Kafka Global leader in data integrity is Looking for: Job Title: Lead Software Engineer Department: DIS - Foundation Location: Remote We are a global leader in data integrity, providing accuracy and consistency in data for 12,000 ...
India, Bhopal
Spectrum Consulting
Experience : 6 - 10 YearsRequired Technical Skills : - Databricks (Data Engineering, SQL Warehouses, Delta Tables, Data Validation)- Python (Pandas, Automation, Data Processing, Reporting Solutions)- SQL (Advanced querying, optimization, joins, window functions, RCA)- Tableau (Dashboard development, performance tuning, ...
India, Chennai
Spectrum Consulting
Experience : 6 - 10 YearsRequired Technical Skills : - Databricks (Data Engineering, SQL Warehouses, Delta Tables, Data Validation)- Python (Pandas, Automation, Data Processing, Reporting Solutions)- SQL (Advanced querying, optimization, joins, window functions, RCA)- Tableau (Dashboard development, performance tuning, ...
India, Gurugram
Weekday AI
Rs 25 - 30 lakhs p.a.
... scalable, data-driven solutions. In this role, you will work closely with engineering, product, analytics, and business teams to identify opportunities where data and AI can create measurable impact. You will also provide technical leadership, mentor data scientists, and contribute to the design and evolution of machine ...
India, Hyderabad
Novo Nordisk
... privacy, ethics and compliance requirements and embed them in day-to-day governance practice. Who you’ll work with You will join the Data and AI Foundation and lead the Data Engineering Enablement team within Novo Nordisk Enterprise IT. The team brings together AI, data and software engineers, business analysts, data architects ...
India, Bengaluru
PMC Commerce
... Strong experience with SQL and working with APIs is required. Familiarity with data warehousing concepts and tools such as Azure Data Factory or equivalent. Data Handling: Expertise in data engineering, including data cleaning, transformation, and preparation for analysis. Knowledge of data modelling, database design, ...
India, Vadodara
... DAX expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics ...
India, India
... science workloads is desirable. - Demonstrated commitment to technical rigor and model explainability through Responsible AI practices. - Proficiency in Python, SQL, and data engineering for analytical / process data modeling. - Experience in machine learning, deep learning, or optimization algorithms applied to real-world ...
India, Chennai
BDO India
... Requirements Experience: 4 to 6 years of hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: ...
India, Mumbai
... strategy, standards, and best practices. Present findings, recommendations, and AI roadmaps to leadership teams. Provide technical guidance and mentoring to junior data scientists and analysts. Collaborate with global teams and external partners to deliver data-driven solutions. Advanced knowledge of Python, SQL, and modern data ...
India, Bengaluru
AngelONE
... Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset curation, feature engineering, model training, model tuning, and offline & online experimentation Strong programming skills with minimum 3-6 years of experience ...
India, Bengaluru
FundsIndia
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...
India, Bengaluru