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
- Build and optimize scalable data pipelines and transformation workflows on Databricks using Python and Spark to support business insights and AI enablement across Securities Services.
- Collaborate with Data Architects and Business Analysts to design robust data models and deliver compliant, business-driven data solutions.
- Implement data quality checks, document ETL logic, and maintain transparency via Jira tracking; ensure governance and privacy standards compliance through dataset and pipeline registration.
Minimum Requirements
- Proven experience developing data pipelines and solutions on Databricks using Python (including pandas) and Spark.
- Understanding of ETL concepts, data modelling, pipeline design, and cloud data platforms.
- Ability to document data flows and transformation logic clearly and use Jira for project tracking.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with data engineering in financial services or large enterprise environments, particularly on cloud data platforms.
- Comfortable collaborating with Data Architects and Business Analysts to translate business requirements into technical solutions.
- Skilled in maintaining data governance, privacy, and compliance within complex data environments.