- Pipeline/ETL (Extract, Transform, Load) processes, API integration, scripting languages (Python), and big data technologies (Trio, Iceberg, DuckDB/Parquet).
- Database design, data modeling, and data warehousing. SQL and at least one cloud platform.
- Analytical tools (Superset, Power BI), statistical analysis, and SQL. To derive insights from data.
- Data governance principles and data quality.
- Data management, data integration projects using IPAAS tools like IBM Sterling, Mulesoft, Dell Boomi
Location-Bangalore/Pune
Experience-5-10 yrs
📌 Data Engineer (Bengaluru)
🏢 Edgeverve
📍 Bengaluru
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