Software Engineer II- Python, Databricks, AWS, Spark, IDMC

Actively Reviewing the Applications

JPMorganChase

Noida Full-Time

Posted 3 days ago • Apply by June 11, 2026

Job Description

Job Description

We have an exciting opportunity for you to advance your data engineering career and make a meaningful impact by joining our innovative team.

Job Summary

As a Data Engineer II at JPMorgan Chase within Corporate Data and Analytics Service team, you design and deliver trusted, scalable data solutions using modern technologies. You collaborate with us to drive critical technology initiatives that support business objectives and foster a culture of growth and inclusion.

Job Responsibilities

Design, develop, and maintain scalable data pipelines using Python and Spark
Build and optimize ETL workflows in Databricks, leveraging Delta Lake features
Integrate and manage data across AWS services such as S3, Lambda, and EKS
Collaborate with data analysts and business stakeholders to deliver solutions
Ensure data quality, integrity, and security across engineering processes
Monitor, troubleshoot, and optimize pipeline performance and resource usage
Document data flows, architecture, and processes for internal knowledge sharing

Required Qualifications, Capabilities, And Skills

Formal training or certification on software engineering concepts and 2+ years applied experience
Proficient in Python for data processing and automation
Strong experience with Apache Spark (PySpark) for distributed data processing
Hands-on experience with Databricks platform and Delta Lake
Solid understanding of AWS cloud services, including S3, Lambda, EKS, and Aurora DB
Experience with ETL design, data modeling, and data warehousing concepts
Familiarity with CI/CD tools and practices for data engineering

Preferred Qualifications, Capabilities, And Skills