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