- 9-15 years experience in Data Engineering with expertise in AWS/Azure/GCP and ETL tools
- Design, develop, test, deploy and maintain large-scale data pipelines; develop complex SQL queries and create reports using Power BI; troubleshoot data warehouse issues
Roles and Responsibilities :
- Design, develop, test, deploy and maintain large-scale data pipelines using ETL tools such as Informatica PowerCenter or Azure Data Factory.
- Collaborate with cross-functional teams to gather requirements for data integrations and ensure seamless data flow between systems.
- Develop complex SQL queries to extract insights from various databases and create comprehensive reports using Power BI or other reporting tools.
- Troubleshoot issues related to data quality, integrity, and performance in the data warehouse workplace.
Job Requirements :
- 9-15 years of experience in Data Engineering with expertise in AWS/Azure/GCP cloud platforms.
- Strong understanding of data integration concepts including ETL processes, data modeling, and dimensional modeling.
- Proficiency in creating dashboards using Power BI or similar reporting tools like Tableau or QlikView.