Data Engineer III- Python, AWS, ETL Glue- Bengaluru

1 day ago

Bengaluru, Karnataka, India JPMorganChase Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking- JP Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

  • Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Strong programming skills in Python.
  • Hands-on experience with AWS Glue (ETL jobs, crawlers, workflows).
  • Experience with PySpark and distributed data processing.
  • Familiarity with AWS services: S3, Lambda, Redshift, Athena, Step Functions.
  • Experience integrating AI/ML models (SageMaker or custom models) into data pipelines.
  • Understanding of data modeling, data warehousing, and data lake architectures.
  • Experience with version control (Git) and CI/CD pipelines.

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

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