Azure Data Engineer

Must-Have Skills 8–10 years of overall IT experience. 5+ years of hands-on experience with Azure Data Engineering. Strong expertise in: Azure Data Factory (ADF) Azure Databricks PySpark Spark SQL Azure Data Lake Storage (ADLS Gen2) Delta Lake Azure Synapse Analytics SQL and T-SQL Experience building end-to-end ETL/ELT pipelines. Strong knowledge of data modeling and data warehousing concepts. Experience with CI/CD using Azure DevOps. Familiarity with Git version control. Experience optimizing Spark jobs and handling large-scale data processing. Knowledge of monitoring, logging, and performance tuning. Strong communication skills and experience working in Agile/Scrum teams.

The Azure Data Engineer will be responsible for building end-to-end ETL/ELT pipelines and optimizing Spark jobs for large-scale data processing. The role requires strong knowledge of data modeling and data warehousing concepts.

Candidates must have 8-10 years of overall IT experience, with at least 5 years of hands-on experience in Azure Data Engineering. Strong communication skills and experience working in Agile/Scrum teams are also required.

Identified from the job description. Confirm important requirements above.

• Azure Data Factory
• Azure Databricks
• PySpark
• Spark SQL
• Azure Data Lake Storage
• Delta Lake
• Azure Synapse Analytics
• SQL
• T-SQL
• ETL
• ELT
• Data Modeling
• Data Warehousing
• CI/CD
• Azure DevOps
• Git

Minimum experience

5+ years

Apply by

Aug 16, 2026