Azure Data Engineer

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
• Perform data cleaning, processing, validation, and quality checks
• Develop SQL/PySpark code for ingestion, transformation, and analytical data preparation
• Assist in optimizing pipeline performance, storage efficiency, and compute consumption on Azure
• Contribute to documentation, technical design reviews, sprint activities, and engineering best practices
• Troubleshoot pipeline failures, data issues, and operational incidents
• Stay updated with Azure data engineering tools, cloud trends, and modern data architecture practices

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
• Hands-on exposure to Azure data platform services and enterprise data engineering concepts