Data Engineer III

JPMorganChase; Hyderabad; On-site; INR 8,515,000 - 11,353,000; Full time

Job summary

JPMorganChase is seeking a Data Engineer III in Hyderabad, India, to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, scalable way.

You will develop, test, and maintain critical data pipelines and architectures across multiple business functions to support firm objectives, leveraging AI-assisted capabilities with strong validation and data sensitivity awareness.

Qualifications

• Formal training or certification in data engineering with 3+ years of applied experience.
• Experience across the data lifecycle.
• Ability to validate AI-assisted outputs before use and handle data safely.
• Advanced SQL and working knowledge of NoSQL databases.
• Experience with data pipelines and generating outputs for business use.
• Familiarity with AI-assisted practices in SDLC for data engineering.

Responsibilities

• Review controls to protect enterprise data.
• Use enterprise AI capabilities to accelerate data work and ensure security.
• Make configuration changes to meet business requests and advise colleagues.
• Update data models with new use cases.
• Frequent SQL use; understand NoSQL databases.
• Apply AI-assisted SDLC practices for data pipelines with traceability and resiliency.

Skills

Advanced SQL

NoSQL databases

AI-assisted SDLC

Data pipelines

Data lifecycle

Data validation

Job description

Job Description

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

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

About Us

Preferred qualifications, capabilities, and skills