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Key Responsibilities:
•Design, develop, and maintain ETL pipelines to ingest, transform, and model data from multiple sources
•Build and optimize SQL queries for large-scale data analysis and reporting
•Develop and maintain dashboards and self-service reporting solutions for stakeholders
•Partner with engineering and business teams to translate requirements into data-driven insights
•Automate reporting workflows using Python scripting
•Ensure data quality, accuracy, and consistency across all deliverables
•Document data models, pipelines, and business logic for team knowledge sharing
•Support ad-hoc analysis and deep-dive investigations as needed
Expected deliverables:
•SQL — Advanced proficiency (complex queries, window functions, query optimization)
•Python — Intermediate to advanced (data manipulation, scripting, automation)
•ETL Logic — Strong understanding of data extraction, transformation, and loading patterns
•Data Modeling — Dimensional modeling, star/snowflake schemas
•Communication — Strong written and verbal communication skills; ability to present insights to technical and non-technical stakeholders
Required qualifications/certifications:
Either Engineering in CS or related fields
OR masters in Analytics or Data Science
Software/programs / tools:
•SQL — Advanced proficiency (complex queries, window functions, query optimization)
•Python — Intermediate to advanced (data manipulation, scripting, automation)
•ETL Logic — Strong understanding of data extraction, transformation, and loading patterns
•Data Modeling — Dimensional modeling, star/snowflake schemas
•Communication — Strong written and verbal communication skills; ability to present insights to technical and non-technical stakeholders