Job description

Cloud Data Engineer- Azure/Databricks/Snowflake Location - NYC, NY or Iselin, NJ 12+ months – hybrid 3 days in office / 2 days remote W2 Rate - $120-122/hr Key Requirements • Must have pipeline development, platform setup and configuration experience • Strong SQL and PySpark skills (must be able to answer SQL merge statements and SCD-related questions) • MUST HAVE Hands-on experience with Databricks, ADF, and Snowflake platform setup and configuration • Solid understanding of Azure cloud environment and DevOps/IaC concepts • Experience with pipeline development and platform configuration of Databricks, ADF and Snowflake • Ability to explain how and why solutions were implemented – not just tasks completed • Strong problem-solving, communication, and independent working skills Day to Day Databricks -must be able to • Configure and manage clusters (auto-scaling, runtime versions, troubleshooting) • Build ETL pipelines with PySpark and Databricks notebooks • Set up and manage Unity Catalog for data governance • Optimize performance (Delta Lake tuning, caching, partitioning) Azure Data Factory (ADF) – must be able to • Build and manage end-to-end data pipelines • Connect to multiple data sources (SQL, REST APIs, Blob storage, Snowflake) • Implement triggers, parameters, variables, and monitoring Snowflake – must be able to • Design and maintain data warehouses and ETL/ELT pipelines • Apply SQL and Data Warehousing concepts (SCD Type 1/2, star schema, partitioning) • Configure virtual warehouses, access control, and performance tuning • Integrate with Databricks, ADF, and BI tools Job Types: Full-time, Contract Pay: $120.00 - $122.00 per hour Work Location: In person

Requirements