Data Engineer with Azure Data Factory (ADF), Data Flows and Snowflake - W2 only

Summary: The Data Engineer role focuses on developing and managing data pipelines using Azure Data Factory, with an emphasis on data warehousing and ETL processes. The position requires expertise in Snowflake and relational databases, along with experience in creating stored procedures. This is a long-term remote position, specifically for candidates eligible for W2 employment. The role is classified as outside IR35.

Key Responsibilities:

• Develop and manage data pipelines in Azure Data Factory (ADF).
• Implement ETL processes using tools such as Informatica PowerCenter, SSIS, or similar.
• Work with relational databases including Oracle, Snowflake, and SQL Server.
• Create stored procedures using Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL.
• Utilize source control systems like GitHub or SVN.

Key Skills:

• Experience in data engineering with a focus on data warehousing.
• Proficiency in Azure Data Factory (ADF) and data flows.
• Knowledge of ETL processes and tools.
• Experience with relational databases such as Oracle, Snowflake, and SQL Server.
• Ability to create stored procedures in various SQL dialects.
• Familiarity with source control systems like GitHub or SVN.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT