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 engin...