Azure Data Factory & Spark Data Engineer (w|m|d)
Core
Design and implement data flows and databases in the Azure Cloud, modeling data structures in Azure SQL DB and managing the full lifecycle of ETL and reporting solutions.
Role type
Senior Azure Data Engineer (Data Pipelines & Warehousing)
Builds
Data pipelines, data transformations, and reporting solutions for clients
Domain
Cloud Data Engineering (Azure ecosystem)
Deliverable
production ML models | product features
Required skills
Azure Data Factory, Azure Databricks, Azure SQL DB, PySpark, Python, T-SQL, GitHub, Data Modeling, ETL development
Preferred skills
Tableau, Power BI, Alteryx, KNIME, Azure Machine Learning
Technologies
Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL DB, Spark, Python, PySpark, T-SQL, GitHub, Tableau, Power BI, Alteryx, KNIME
Responsibilities
Design and implement data flows and databases in the Azure Cloud; model data structures in Azure SQL DB; monitor, maintain, and extend existing ETL and reporting solutions; translate business and technical requirements into development; create test cases; consult on and support the development of data pipelines and data transformations
Seniority
Senior, hands-on IC