Software Engineer III - Python, Spark/PySpark, Databricks, SQL
JPMorgan Chase & Co. (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ELT data pipelines and data architectures using Python, Spark/PySpark, Databricks, and SQL.
- Ensure pipeline performance, reliability, maintainability, and data security by applying engineering best practices and supporting governance frameworks.
- Collaborate with stakeholders to translate data requirements into production-ready solutions and improve pipeline stability through SDLC practices including CI/CD and testing.
Minimum Requirements
- 3+ years of applied software engineering experience with formal training or certification.
- Hands-on experience with Databricks, Spark/PySpark, Python, and SQL.
- Experience in developing and maintaining data pipelines and data processing systems with understanding of data lifecycle and cloud platforms (AWS).
- Experience with SDLC practices including CI/CD, testing, deployment, and usage of enterprise-authorized AI-assisted software development tools in production.
Ideal Candidate Profile
- Experienced in building and optimizing complex data pipelines within agile teams and capable of troubleshooting data and pipeline issues effectively.
- Skilled in using AI-assisted coding tools critically, ensuring outputs meet correctness, performance, and security standards.
- Knowledgeable in responsible AI use, data sensitivity, secure handling practices, and able to guide peers on safe AI tool usage.