Description

You will design and build data systems, ETL processes, and business intelligence solutions for the Data Asset Program.

This role is hybrid.

Responsibilities

• Design and support DW database and table schemas for data hub and warehouse sources.
• Develop data solutions by collaborating with data analysts and scientists.
• Implement and maintain ETL processes and data integrations.
• Manage multiple projects, prioritizing tasks effectively to resolve conflicts.

Required Skills

• 10+ years of experience in data engineering or a related field.
• Expertise in Azure Cloud engineering and Data Factory v2.
• Proficiency with Data Lake Store and Data Lake Analytics.
• Strong knowledge of database architectures, including spatial data ingestion.
• Experience with Kimball and Inmon data warehousing architectures.
• Proficiency in SQL Server (SSIS, SSRS, SSAS), Oracle, and T-SQL.
• Experience with DataStage and Erwin.
• Scripting ability using Python or Windows/Linux Shell scripting.
• Familiarity with Windows and Unix operating system environments.

Key Skills

Education

Any Graduate