Data Engineer Sr.

Data Engineer Sr.

Key Responsibilities:

Design, implement, and maintain scalable data pipelines on the Azure platform using Azure Data Factory, Synapse Anlaytics and PySpark.
Develop, optimize, and manage Power BI dashboards to support enterprise reporting and data visualization needs.
Enhance Cosmos processing performance by writing and optimizing Scope Scripts for large scale data jobs.
Work closely with cross functional teams to integrate data pipelines and ensure seamless delivery of analytics and reporting solutions.
Maintain strong data governance by ensuring data quality, security, and compliance across all systems and processes.
Translate business requirements into efficient data models, leveraging DAX, dimensional modeling, and Power BI to communicate insights effectively.
Tech Stack:

Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Cosmos Scope Scripting, Power BI, DAX, Kusto Query Language (KQL), SQL, PySpark
Must Have:

Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, SQL, Power BI, DAX
Good to Have: Cosmos Scope Scripting, PySpark
Optional: Kusto KQL

Advanced English 

remote