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About the Role
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 updat...
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