You will design and develop integrations for the Enterprise Data Asset program, focusing on ETL processes and business intelligence.
Responsibilities
- Develop data engineering processes leveraging cloud architecture and migrate existing data pipelines to these environments.
- Design and support DW database and table schemas for new and existing data sources within the data hub and warehouse.
- Build and develop Data Marts to support business requirements.
- Partner with data modelers, architects, analysts, and scientists to refine requirements and optimize table structures for reporting.
Required Skills
- 5+ years of experience in ETL development and data warehousing.
- Extensive experience with 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.
- Familiarity with HDFS, Azure Data Lake Store, Azure Blob Storage, and Databricks.
- Experience using IBM DataStage, Erwin, and MS Team Foundation Server.
- Proficiency in Business Objects, Power BI, or Tableau.
Preferred Skills
- Understanding of Agile methodologies and processes.
- Advanced knowledge of analytical and dimensional modeling.