Azure ETL / DW Developer

Azure ETL / DW Developer

14 Jun 2024
Nebraska, Omaha / council bluffs, 68101 Omaha / council bluffs USA

Azure ETL / DW Developer

Vacancy expired!

Our client is looking for an Azure ETL Developer for an immediate 6 month Contract-to-hire role. Candidates that will not require sponsorship will be considered. Local candidates are preferred but 100% remote is also available for this role. The best candidate will have excellent techincal and communication skills.
Azure ETL / DW Developer

  • Developer will be responsible for design, develop and test of ETL, Azure Data warehousing, data ingestion Data Factory pipeline, data transformation and mapping in Azure environments. Expected to build and validate transformation/data movements in Azure environment
  • Deep understanding of Azure Cloud Azure Data Lake (Gen1 & Gen2), Data Factory, Azure SQL Data Warehouse, Azure Storage Options, Data Lake Analytics, Stream Analytics, EventHub, Azure SQL. 20
  • Ability to efficiently code, test & certify in Azure platforms, software, and applications. Understand and resolve complex technical issues, use common sense, and the ability to think on your feet. Experience in Cloud Data Lake, Data Warehouse, Business Intelligence, Data Marts Data Mining via ETL\ELT Azure Data Factory.

Requirements:
  • Bachelor's Degree in Computer Science
  • 3+ experience with Azure Data Lake (Gen1 & Gen2), U-SQL, Data Factory, Azure SQL Data Warehouse, Azure Storage Options, Data Lake Analytics, Stream Analytics, Data Factory & Azure SQL.
  • 3+ experience in data warehouse processes including project management, ETL/ELT, ODS, Data Marts, Data Mining, data validation and implementation.
  • 2+ experience with Spark SQL & Scala.
  • Significant experience with data modeling skills - conceptual, logical, and physical model design, Operational Data Stores, Enterprise Data Warehouses and Data Marts.
  • Experience with USQL and experience in building pipeline from multiple sources.
  • Experience with Azure Data Factory (ADF) creating multiple complex pipelines and activities using both Azure and On-Prem data stores for full and incremental data loads into a Cloud Datawarehouse


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