
Azure Data Engineer (QA)
- Bangalore, Karnataka
- Permanent
- Full-time
- Provide data engineering subject matter expertise and hands-on data- capture, ingestion, curation, and pipeline development expertise on Azure to deliver cloud optimized data solutions.
- Provide expert data PaaS on Azure storage; big data platform services; server-less architectures; Azure SQL DB; NoSQL databases and secure, automated data pipelines.
- Develop and execute test strategies for data pipelines, ETL workflows, and data models.
- Perform data validation (schema, metadata, row counts, referential integrity, business rules).
- Automate regression and unit testing for data pipelines using PySpark, SQL, and testing frameworks (e.g., pytest).
- Conduct data reconciliation testing between source and target systems.
- Implement monitoring and alerting for data quality issues.
- Participate in data/data-pipeline architectural discussions to help build cloud native solutions or migrate existing data applications from on premise to Azure platform. Perform current state “AS-IS” and future state “To-Be” analysis
- Bachelors or higher degree in Computer Science or a related discipline.
- At least 5 years of data pipeline and data product design, development, delivery experience and deploying ETL/ELT solutions on Azure Data Factory.
- Azure native data/big-data tools, technologies and services experience including – Storage BLOBS, ADLS, Azure SQL DB, COSMOS DB, NoSQL and SQL Data Warehouse.
- Sound problem solving skills in developing data pipelines using Data Bricks, Stream Analytics and PowerBI.
- Strong experience in data testing, ETL testing, and automation frameworks with hands-on expertise in data profiling, reconciliation, and quality checks, along with familiarity with modern data testing tools such Pytest.
- Knowledge on Distributed System.
- Travel: 0%
- Location: India, Bangalore
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