Description

You will lead a team of data engineers to build and manage scalable data integration and ETL processes.

Responsibilities

• Lead and manage a team of data engineers to deliver data projects.
• Design and implement ETL processes and data integration workflows.
• Transform raw data into actionable insights through analytical problem-solving.
• Collaborate with stakeholders to meet technical requirements and deadlines.
• Manage incremental data processing using Change Data Capture (CDC) techniques.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in PySpark, Python, and SQL.
• Hands-on experience with Azure SQL Database, Azure Data Factory, and Azure Cosmos DB.
• Strong experience with SSIS.
• Experience with Azure Blob Storage and Azure Data Lake.
• Knowledge of Data Fabric architectures.
• Familiarity with CI/CD tools such as Azure DevOps.
• Familiarity with RESTful APIs and API integrations.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

Preferred Skills

• Experience with Power BI for creating dynamic dashboards and reports.

Key Skills

Education

Bachelors or master’s degree in computer science, Data Engineering