Security Services Data Modelling and Engineering - Analyst (DADA04)
JPMorgan Chase & Co. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable data pipelines and transformation workflows on Databricks using Python and Spark.
- Collaborate with Data Architects and Business Analysts to develop business-aligned, robust data models and deliver compliant data solutions.
- Implement and validate data quality checks and maintain documentation of ETL logic, datasets, and pipeline metadata following governance standards.
Minimum Requirements
- Proven experience developing data pipelines and solutions on Databricks using Python and Spark.
- Proficiency in Python for data transformation including libraries such as pandas.
- Experience with Spark and cloud data platforms.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience working in financial services or large enterprise data environments with awareness of data governance and compliance.
- Ability to collaborate cross-functionally with Data Architects and Business Analysts to translate business needs into technical data models.
- Detail-oriented with the capability to document data flows and transformation logic clearly and maintain project tracking with tools like Jira.