Software Engineer III - Python, Spark/PySpark, Databricks, SQL
JPMorgan Chase & Co. (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 15–28 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain scalable ELT data pipelines and data architectures using Python, Spark/PySpark, Databricks, and SQL.
- Implement data security, governance, and entitlements frameworks to ensure enterprise data protection.
- Use SDLC practices including CI/CD, testing, and operational monitoring to ensure pipeline stability and delivery of production-ready solutions.
Minimum Requirements
- 3+ years of applied software engineering experience with formal training or certification.
- Hands-on experience with Databricks, Spark/PySpark, Python, and SQL required.
- Familiarity with cloud platforms (AWS) and distributed data processing.
- Experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to validate AI-generated outputs.
Ideal Candidate Profile
- Experienced in building data pipelines supporting enterprise analytics and data lifecycle management.
- Demonstrated ability to apply best practices in data engineering for performance, reliability, and maintainability within agile teams.
- Knowledgeable about responsible AI use in engineering workflows, including data sensitivity and secure handling, capable of guiding peers in safe AI tool usage.