15 Sep
|
AIonOS
|
Gurugram
Roles and Responsibilities
- Design and optimize scalable data pipelines using Snowflake and Azure Data Factory.
- Build and maintain data warehouses in Snowflake for high-performance analytics.
- Implement ETL/ELT workflows with Snowflake Snowpipe, Azure Databricks, and SQL.
- Ensure data governance and security using Snowflake RBAC and Azure policies.
- Monitor and optimize query performance and costs in Snowflake and Azure. Qualifications:
- 15+ years in data engineering with Snowflake and Azure (Data Factory, Databricks).
- Expertise in SQL, Python, and Snowflake features (Snowpipe, Streams).
- Experience with data modeling, partitioning, and clustering in Snowflake.
- Robust problem-solving and collaboration skills.
Preferred
- Knowledge of Snowflake Cortex and Databricks Genie for ML integration.
📌 Lead Data Engineer (Gurugram)
🏢 AIonOS
📍 Gurugram