Data Engineer opportunities (AWS) - Junior, Senior & Lead
Summary
Builds a Mumbai-based global data engineering COE for a US-headquartered FMCG brand, with junior-to-lead roles on 12-month freelance hybrid contracts. Work centers on AWS cloud data solutions and GenAI using Python, PySpark, SQL, Databricks, and services like S3, Glue, and Redshift.
Data Engineer opportunities (AWS) - Junior, Senior & Lead
We are building a team of Data Engineers to join a global COE for a world-renowned FMCG brand headquartered in the USA.
4 opportunities available for Junior Data Engineer, Data Engineer, Senior Data Engineer and Lead Data Engineer to work on AWS cloud and GenAI solutions in their Mumbai based COE.
Minimum 12 month freelance contracts, hybrid working in Mumbai (3 days per week), hourly rates in USD.
Experience with Databricks is mandatory for these positions.
Key experience required:
- Experience building and implementing scalable data solutions
- Experience with AWS cloud-based data solutions
- Experience with GenAI solutions (Gemini, Genie, Kiro)
- Management of data pipelines and ensure data quality
- Optimize data storage and retrieval
Technical stack:
- Programming: Python, PySpark, SQL
- ETL & Integration: Databricks (Mandatory), AecorSoft/DataSphere,
- Data Warehousing: SCD Types, Fact & Dimensions, Star Schema, ETL
- Data Modeling: Erwin (Optional)
- Medallion Architecture: Bronze, Silver, Gold, Platinum
- AWS Cloud Services: S3, Glue, Redshift, Lambda, EMR, Athena
- GenAI exposure: Gemini/Genie/Kiro etc.
- Supporting Technologies: Databricks Jobs, Airflow
- Visualization (Optional): PowerBI (Optional), Tableau (Optional), GenBI (Optional)