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We’re seeking a Data Engineer to design and build scalable data pipelines in a modern Azure environment. This role focuses on transforming raw data into reliable, analytics-ready datasets.
Job Responsibility
Build and maintain ETL/ELT pipelines using Azure Data Factory
Develop data solutions in Azure Databricks (PySpark / Spark)
Optimize data processing performance and cost efficiency
Work with structured and unstructured data across cloud platforms
Collaborate with analytics and business stakeholders to define data requirements
Ensure data quality, governance, and documentation
Requirements
Experience with Azure Data Factory + Databricks
Strong skills in SQL and Python
Knowledge of data modeling (star/snowflake schemas)
Experience with data lakes, data warehouses, and cloud storage
Understanding of ETL/ELT best practices
Nice to have
Experience with Azure Synapse or Snowflake
Exposure to CI/CD or DevOps pipelines
Knowledge of data governance tools
What we offer
Medical, vision, dental, and life and disability insurance