Data Engineer III

J.P. Morgan Chase & Co.; Hyderabad; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

JPMorgan Chase in Hyderabad is seeking an experienced Data Engineer III to design and deliver scalable data pipelines and architectures, ensuring secure data collection, storage, and analytics. You will work within an agile team across multiple business functions to support the firm’s objectives.

The role emphasizes AI-assisted data engineering, strong SQL and NoSQL skills, data lifecycle experience, and adherence to controls and data sensitivity requirements.

Qualifications

• Formal training or certification on data engineering concepts and 3+ years applied experience
• Experience across the data lifecycle
• Experience using enterprise-authorized AI capabilities in data engineering workflows
• Ability to review and validate AI-assisted outputs before use
• Advanced SQL skills and NoSQL understanding
• Experience customizing changes in tools to generate product outputs

Responsibilities

• Supports review of controls to ensure sufficient protection of enterprise data
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation
• Responsible for making configuration and customization changes to generate a product at business or customer requests
• Updates logical or physical data models based on new use cases
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
• Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines, ensuring traceability and security

Skills

Advanced SQL

NoSQL understanding

Data analysis

AI-enabled data engineering

SDLC quality

Education

Data engineering certification

Tools

SQL

NoSQL databases

Job description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorganChase within the [insert LOB or sub LOB], you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Supports review of controls to ensure sufficient protection of enterprise data
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
• Responsible for making configuration and customization changes to generate a product at business or customer requests and advising colleagues in requests
• Updates logical or physical data models based on new use cases
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
• Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.

Required qualifications, capabilities, and skills

• A. Formal training or certification on data engineering concepts and 3+ years applied experience (NAMR/APAC - India/LATAM/Hong Kong)
  B. Formal training or certification on data engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
  C. Singapore follow local country guidance
• Experience across the data lifecycle
• 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., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
• Advanced SQL skills (e.g., joins and aggregations) and working understanding of NoSQL databases
• Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis
• Experience customizing changes in tools to generate product outputs