Data Engineer III
JPMorgan Chase & Co. (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 12–24 LPA
Posted 21h ago
Reach people at JPMorgan Chase & Co.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at JPMorgan Chase & Co. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, test, and maintain critical data pipelines and architectures supporting multiple business functions.
- Ensure enterprise data protection through controls review and compliance with data sensitivity and security requirements.
- Leverage enterprise-authorized AI capabilities to accelerate data pipeline design, documentation, validation, and testing adhering to SDLC quality and auditability standards.
Minimum Requirements
- 3+ years applied experience in data engineering with formal training or certification in data engineering concepts (region-specific requirements apply).
- Advanced proficiency in SQL including complex joins and aggregations; working knowledge of NoSQL databases.
- Experience applying enterprise-authorized AI tools for data engineering workflows with strong validation and awareness of data sensitivity.
- Work Experience Required: 3+ years; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in end-to-end data lifecycle management with the ability to customize tools for product output generation.
- Capable of reviewing AI-assisted outputs critically to ensure data accuracy and compliance before deployment.
- Skilled in statistical data analysis to select appropriate tools and data patterns for analysis aligned with business objectives.