Data Engineer III

JPMorgan Chase & Co.; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorganChase is seeking a Data Engineer III in Hyderabad to join an agile team responsible for designing and delivering trusted data pipelines, storage, access, and analytics solutions in a secure, scalable way.

You will work across multiple business functions to develop and test data pipelines and ensure processing meets enterprise standards for resilience and security.

Qualifications

• Formal training or certification in data engineering required.
• 3+ years of applied data engineering experience.
• Strong SQL skills and NoSQL understanding.
• Experience with AI-assisted data workflows and validation.
• Ability to review AI outputs before use and follow data handling requirements.
• Experience across the data lifecycle.

Responsibilities

• Review controls to protect enterprise data.
• Use AI capabilities to accelerate data pipelines and document outputs.
• Customize changes to satisfy business requests.
• Update data models for new use cases.
• Strong SQL and NoSQL skills.
• Apply AI-assisted SDLC practices for data pipelines.

Skills

Data engineering concepts

Advanced SQL

NoSQL databases

AI-assisted data pipelines

Data lifecycle experience

Data validation & security awareness

Education

Formal training or certification in data engineering

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 Commercial & Investment Bank, 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

• Formal training or certification on data engineering concepts and 3+ years applied experience
• 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