Related skills
snowflake kafka pyspark azure data factory delta lake📋 Description
- Platform Engineering: design end-to-end data lakehouse on Azure Databricks, Snowflake.
- Pipeline Development: build scalable ETL/ELT with Azure Data Factory, PySpark, SnowSQL.
- Managed Services Support: Tier-3 support, performance tuning, and fixes.
- Multi-Cloud Integration: data movement across Azure, AWS, and GCP for Data Everywhere.
- Cost & Performance Governance: optimize Snowflake credits and Databricks usage.
- Security & Compliance: RBAC, RLS, and data masking with Snowflake/Databricks.
🎯 Requirements
- Snowflake: Snowpipe, Streams & Tasks, Dynamic Tables, Zero-Copy Cloning.
- Azure Databricks: Spark SQL, PySpark, Delta Lake, Unity Catalog.
- Orchestration: Azure Data Factory, Airflow, or dbt.
- Cloud Infrastructure: ADLS Gen2, Azure DevOps, Terraform/Bicep.
- Languages: Advanced SQL and Python.
- Experience: 5+ years in Data Engineering; 3+ yrs Snowflake & Databricks.
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