Description

You will own cloud-based data management, ETL pipeline development, and master data governance for the Enterprise Data Asset team.

Responsibilities

• Develop and maintain ETL processes to extract business and spatial data into data warehousing environments.
• Design and support Data Warehouse schemas, table structures, and Data Marts for the data hub.
• Analyze source systems and profile datasets, including spatial components, to identify conflicts and resolution strategies.
• Decompose requirements into Epics and Features, creating user stories, acceptance criteria, and mapping them to data models.
• Define test objectives, create test plans, and execute test cases to ensure data quality.

Required Skills

• 10+ years of experience in data analytics and ETL development.
• Proficiency in Python, Java, XML, and SQL.
• Hands-on experience with Azure Data Factory v2, Data Lake Store, and Data Lake Analytics.
• Expertise with Azure Synapse and Azure Analysis Services.
• Strong knowledge of warehousing architecture techniques including MOLAP, ROLAP, ODS, DM, and EDW.
• Experience with SSIS, SSRS, and SSAS.
• Ability to work in an Agile (Sprint) environment.
• Experience with entity resolution, metadata management, and spatial data profiling.

Key Skills

Education

Any Gradute