Description

You will design and develop ETL processes and business intelligence integrations for the Enterprise Data Asset program.

This role is on-site.

Responsibilities

• Develop data engineering processes leveraging cloud architecture and migrate existing pipelines.
• Design and support database and table schemas for new and existing data sources.
• Build and maintain Data Marts to support specific business requirements.
• Partner with data modelers, architects, and analysts to optimize table structures for reporting.

Required Skills

• 5+ years of experience in ETL development and data warehousing.
• Extensive experience with Azure Data Factory v2, Data Lake Store, and Data Lake Analytics.
• Proficiency with Azure Analysis Services and Azure Synapse.
• Hands-on experience with Snowflake and Azure SQL Data Warehouse.
• Strong command of Python and Linux shell scripting.
• Experience with SQL Server (SSIS, SSRS, SSAS), Oracle, and T-SQL.
• Knowledge of Kimball and Inmon data warehousing architectures.

Preferred Skills

• Understanding of Agile methodologies and processes.
• Advanced knowledge of analytical and dimensional modeling.

Key Skills

Education

Any Gradute