A company is looking for a Data Engineer to support the design, development, and optimization of data solutions on Azure Cloud and Databricks.
Key Responsibilities
Design, build, and maintain ETL / ELT pipelines using Azure Data Factory and Databricks
Develop and manage data models, data warehouses, and analytical datasets
Optimize large-scale data processing workflows using Spark and advanced PySpark techniques
Required Qualifications
Experience with Azure Data Factory and Databricks
Proficiency in Python and PySpark
Knowledge of data modeling and data warehousing concepts
Familiarity with data governance and security best practices
Experience in monitoring and troubleshooting data pipelines
Data Engineer • Sterling Heights, Michigan, United States