Posted on: 23/12/2025
Description :
We are looking for a highly skilled Senior Azure Data Engineer with 6+ years of experience in designing, building, and maintaining scalable data solutions on Microsoft Azure.
The ideal candidate will have strong expertise in Azure data services, data modeling, ETL/ELT pipelines, and performance optimization, along with experience working in agile, cross-functional teams.
Key Responsibilities :
- Design, develop, and maintain end-to-end data pipelines using Azure data services
- Build and optimize ETL/ELT workflows for structured and unstructured data
- Implement data ingestion solutions using Azure Data Factory (ADF)
- Develop and manage data solutions using Azure Synapse Analytics and/or Azure SQL Database
- Work with Azure Data Lake Storage (ADLS Gen2) for large-scale data storage
- Perform data transformations using Azure Databricks (PySpark / Spark SQL)
- Ensure data quality, data governance, and security best practices
- Optimize query performance, cost, and scalability of Azure data platforms
- Collaborate with data scientists, analysts, and business stakeholders
- Implement CI/CD pipelines and version control for data engineering solutions
- Monitor, troubleshoot, and resolve production data issues
- Mentor junior data engineers and review code/designs
Required Skills & Qualifications :
- 7+ years of overall experience in Data Engineering / Data Warehousing
- Strong hands-on experience with Microsoft Azure Data Services, including:
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure Data Lake Storage (ADLS Gen2)
- Azure SQL Database / SQL Server
- Proficiency in SQL (advanced querying, performance tuning)
- Strong experience with Python (especially PySpark)
- Experience with Azure Databricks and Spark-based processing
- Knowledge of data modeling, star/snowflake schemas
- Experience working with large-scale datasets and distributed systems
- Familiarity with CI/CD, Git, and DevOps practices
- Understanding of data security, RBAC, and compliance in Azure
Good to Have (Preferred Skills) :
- Experience with streaming data (Azure Event Hubs / Kafka / Stream Analytics)
- Knowledge of Power BI or other reporting tools
- Experience with Delta Lake, data versioning, and lakehouse architecture
- Exposure to multi-cloud or hybrid data environments
Soft Skills :
- Strong problem-solving and analytical skills
- Excellent communication and stakeholder management
- Ability to work independently and lead technical initiatives
- Mentoring and leadership experience
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1594281
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