Description

You will design, build, and maintain scalable data pipelines and solutions on the Azure platform.

This role is hybrid.

Responsibilities

• Design and implement ETL processes using Azure Data Factory and Databricks.
• Write and optimize SQL queries, stored procedures, and PySpark/Python scripts.
• Manage data lakes, ensure data quality, and implement governance frameworks.
• Develop and maintain Power BI reports and visualizations.
• Apply security protocols for identity, access management, and encryption.

Required Skills

• 5+ years of experience in Azure Cloud Data Engineering.
• Hands-on expertise with Azure Databricks and PySpark.
• Strong proficiency in SQL and writing complex queries.
• Experience with Azure Data Factory and Data Lake Storage.
• Proficiency in Python for data engineering tasks.
• Databricks Certified Data Engineer Associate certification is required.
• Understanding of Azure security protocols and data governance.

Preferred Skills

• Experience with .NET C# and creating stored procedures.
• Azure Security Engineer Associate or Solutions Architect Expert certification.

Key Skills

Education

Bachelor's degree