Associate - Analytics Data Engineer
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 22–34 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead development and optimization of analytics-ready data models using SQL and Python for reporting and self-service BI in Snowflake and Databricks environments.
- Design and maintain a semantic layer to standardize business metrics ensuring consistency and usability across dashboards and analyses.
- Collaborate with stakeholders and upstream teams to translate requirements into governed datasets, implement data quality controls, and document modeling standards for scalable analytics consumption.
Minimum Requirements
- Master’s degree in IT, Computer Science, MIS, Operations Research or related field with 3 years relevant experience OR Bachelor’s degree with 5 years relevant experience as Analytics Engineer or similar.
- Advanced SQL skills including complex joins, performance tuning, and incremental logic.
- Experience with data modeling concepts such as grains, facts, dimensions, conformed and slowly changing dimensions, and semantic layer or metrics framework development.
- Working knowledge of Snowflake and/or Databricks, plus practical Python skills for data validation, automation, and scripting.
Ideal Candidate Profile
- Experienced analytics engineer skilled in building governed, reusable data models and semantic layers with high data quality and documentation standards.
- Proficient in translating ambiguous stakeholder needs into clear metric definitions and modeling deliverables with measurable outcomes.
- Comfortable handling semi-structured and non-relational data, collaborating cross-functionally, and optimizing model performance in cloud analytics platforms.