Must-Have : Snowflake , Python/Pyspark , SQL And AWS services
Good-to-Have:
- 10+ years of IT development experience with min 5+ years hands-on experience in Snowflake
- Strong experience in building/designing the data warehouse or data lake, and data mart end-to-end implementation experience focusing on large enterprise scale and Snowflake implementations on any of the hyper scalers.
- Robust experience with building productionized data ingestion and data pipelines in Snowflake
- Good knowledge of Snowflake's architecture, features likie Zero-Copy Cloning, Time Travel,
and performance tuning capabilities
- Should have good exp on Snowflake RBAC and data security.
- Strong experience in Snowflake features including new snowflake features.
- Should have good experience in Python/Pyspark.
- Should have experience in AWS services (S3, Glue, Lambda, Secrete Manager, DMS) and few Azure services (Blob storage, ADLS, ADF)
- Should have experience/knowledge in orchestration and scheduling tools experience like Airflow
- Should have good understanding on ETL or ELT processes and ETL tools.
📌 Snowflake Architect (India)
🏢 Tata Consultancy Services
📍 India
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