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JPMorgan Chase & Co.

Data Engineer III

JPMorgan Chase & Co. Hyderabad, Telangana, India

Financial Services · 10,001+ employees

5 d ago Closes in 5d
data-engineer Mid (2-5 yrs) Full-time India
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About the role

The Data Engineer III is responsible for designing, developing, and maintaining secure and scalable data pipelines and architectures. They also support the review of data controls and utilize AI-assisted tools to accelerate analysis and documentation while ensuring data integrity.

What they look for

Data Engineering SQL NoSQL Data Pipelines Data Modeling Statistical Data Analysis AI-assisted Development SDLC Data Security Data Lifecycle Management Agile Methodology Control Validation Traceability Auditability

Requirements

Candidates must have at least 3 years of applied experience in data engineering and formal training or certification in the field. Proficiency in advanced SQL, experience with NoSQL databases, and the ability to perform statistical data analysis are required.

Full 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

Preferred qualifications, capabilities, and skills

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