Job Description
Roles & responsibilities
- Contribute to the development of data ingestion, transformation, and integration pipelines on Azure
- Support the implementation of ETL/ELT workflows using Azure Data Factory, Synapse, Databricks, and other Azure-native services
- Participate in building and maintaining data lakes, data warehouses, and analytical datasets
- Work with senior team members to understand client requirements and translate them into technical tasks
Educational Qualifications
- A bachelor’s or master’s degree in Engineering, Computer Science, or equivalent
- Relevant Azure Certifications (Azure Data Fundamentals(DP-900), Azure Fundamentals(AZ-900), Fabric Data Engineer Certificate (DP-700, preferred but not mandatory)
Work Experience
- 3-6 years of experience in data engineering, data integration, or cloud analytics
Apply for This Position
Ready to take the next step? Click the button below to submit your application.
Submit Application