← Back to opportunities
About the Role
Description
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.
Key Responsibilities:
+ 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
Required Skills:
+ 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...
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.
Key Responsibilities:
+ 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
Required Skills:
+ 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...
Ready to Join Through a Referral?
Apply now and get connected directly with the hiring team
Apply for this Position