Posted on: 31/03/2026
Description :
Job Summary :
We are seeking a skilled and motivated Azure Data Engineer with experience in designing, building, and optimizing scalable data pipelines. The ideal candidate should have strong hands-on experience with Azure data services, particularly Azure Databricks (ADB) and Azure Data Factory (ADF), along with expertise in Python, PySpark, and SQL.
Key Responsibilities :
- Design, develop, and maintain scalable and reliable data pipelines using Azure services.
- Build and optimize ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks
(ADB).
- Develop data processing solutions using Python and PySpark.
- Work with structured and unstructured data from multiple sources.
- Write complex SQL queries and optimize performance across RDBMS (Oracle, PostgreSQL, SQL Server, etc.).
- Ensure data quality, integrity, and governance across pipelines.
- Implement best practices for data engineering, including CI/CD and version control.
Role Requirements :
- 6+ years of relevant experience in azure data engineer.
Strong hands-on experience with :
1. Azure Data Factory (ADF)
2. Azure Databricks (ADB)
- Proficiency in Python and PySpark.
- Strong SQL skills with experience in any RDBMS (Oracle, PostgreSQL, SQL Server, etc.).
- Solid understanding of data pipelines, ETL/ELT concepts, and data processing frameworks.
- Experience in handling large-scale data processing and optimization.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1625013