Posted on: 24/07/2025
We are seeking a skilled and experienced Azure Data Engineer to design, build, and maintain scalable and reliable data pipelines and solutions on the Microsoft Azure platform. The ideal candidate will have hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other Azure data services. You will work closely with data architects, analysts, and business teams to transform raw data into actionable insights and support data-driven decision-making.
Key Responsibilities :
- Design, develop, and maintain robust data pipelines and ETL/ELT workflows using Azure Data Factory and related tools.
- Build and optimize data models in Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake.
- Integrate data from multiple sources including structured, semi-structured, and unstructured datasets.
- Develop scalable data ingestion processes and automate data movement across environments.
- Implement data quality, data governance, and data security best practices.
- Collaborate with data scientists, analysts, and business stakeholders to meet reporting and analytics requirements.
- Monitor data pipeline performance and troubleshoot issues proactively.
- Optimize and refactor legacy data processes for better performance and cost efficiency on Azure.
Required Skills and Experience :
- 7-9 years of experience as a Data Engineer, with at least 2 years working on Azure Data Services.
- Proficiency in Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, and Azure Databricks.
- Strong SQL skills and experience with stored procedures, views, and performance tuning.
- Experience in data modeling and designing star/snowflake schemas for data warehouses.
- Hands-on experience with Spark, PySpark, or Dataflows in Databricks.
- Familiarity with CI/CD for data pipelines using tools like Azure DevOps.
- Knowledge of data governance, data quality, and security principles in a cloud environment.
Preferred Qualifications :
- Microsoft Certified : Azure Data Engineer Associate (DP-203) or similar certification.
- Experience with Power BI integration and data visualization best practices.
- Exposure to big data technologies and handling large-scale data environments.
- Familiarity with programming languages like Python or Scala.
- Understanding of modern data architectures like Data Lakehouse or Delta Lak
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1518808
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