Description

Design and maintain scalable ETL pipelines and data warehouses in Azure. You will own the end-to-end data integration lifecycle, from ingestion to governance.

Responsibilities

• Design and implement ETL processes using Azure Data Factory, Data Flows, and Mapping Data Flows.
• Integrate data from SQL Server, Blob Storage, APIs, and third-party systems into Azure data warehouses.
• Monitor and troubleshoot ETL jobs to ensure data quality, security, and performance at scale.
• Automate data workflows and optimize large-scale data processing pipelines.
• Collaborate with analysts and business stakeholders to define data requirements and governance standards.

Required Skills

• 3+ years of ETL development experience, including at least 1 year with Azure Data Factory.
• 5+ years of proficiency in SQL, Azure Synapse, and Azure Data Lake.
• 5+ years of experience with CI/CD pipelines, Git, and DevOps practices.
• 5+ years of experience with data modeling, data warehousing, and cloud architecture.
• 5+ years of experience with Power BI, Databricks, or Python for data transformation.
• 4+ years of familiarity with Agile methodologies and tools like JIRA or Azure Boards.
• Bachelor’s degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Microsoft Azure certifications (e.g., DP-203, AZ-900).

Key Skills

Education

Bachelor's degree