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
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