Cloud Data Engineer

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Strategic Staffing Solutions
New York, NY, United States
  • Environmental

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
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