Posted on: 29/08/2025
Skills and Development :
- Build Azure data factory pipeline, Azure Data Lake, Datawarehouse
- Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into data warehouse
- Optimize and fine-tune data processes to ensure high performance and reliability
- Implement data validation, testing, and quality assurance processes to maintain data accuracy and consistency
- Proficient in Azure Data Factory, Azure Data Catalog, Data Architecture, Apache Spark, ETL
tools and techniques
- Develop and maintain documentation for data pipelines, processes, and data dictionaries
- Monitor and troubleshoot data pipeline issues, resolving them
- Collaborate with multiple teams and ensure data integrity, accuracy, and availability
Qualification :
- Azure Data Factory, Azure Data Lake, Azure Devops , Azure Data warehouse
- Experience with Repository and version control, GitHub
Did you find something suspicious?
Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1537813
Interview Questions for you
View All