Description

You will support data pipeline development and migration from legacy warehouses to Azure Fabric Lakehouse/Warehouse.

This role is on-site.

Responsibilities

• Write efficient T-SQL queries for extraction, transformation, and validation across SQL Server 2022, Azure SQL MI, and Synapse.
• Develop and debug Python scripts for automation, ingestion, and data quality checks.
• Build Fabric dataflows, pipelines, and lakehouse tables aligned with enterprise data-modeling standards.
• Collaborate with senior engineers on ETL design, optimization, and performance tuning.
• Monitor data load processes, troubleshoot job failures, and update JIRA/Zephyr test cases.

Required Skills

• 8+ years of professional experience in data engineering.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Strong proficiency in SQL with T-SQL preferred.
• Hands-on experience with Python scripting.
• Solid understanding of data warehousing concepts including ETL, staging, and fact/dimension modeling.
• Strong expertise with Azure services: Data Factory and Synapse.
• Experience with Git/Azure DevOps, Confluence, and JIRA.
• Familiarity with Agile/Scrum environments.

Preferred Skills

• Experience with Azure Fabric.
• Exposure to Power BI and basic DAX concepts.

Key Skills

Education

Bachelor's degree