Azure Data Engineer

Job Opening: Azure Data Engineer | 3–5 Years | Hyderabad Location: Hyderabad (Onsite/Hybrid) Experience: 3 to 5 Years We are looking for a skilled Azure Data Engineer to join our growing data team in Hyderabad. The ideal candidate should have hands-on experience with Azure cloud data services, data pipelines, and big data processing . Key Responsibilities: Design, build, and maintain data pipelines and ETL/ELT workflows using Azure Data Factory . Manage and optimize data storage in Azure Data Lake (ADLS Gen2) . Work with Azure Databricks (PySpark/Scala) for large-scale data processing. Develop and optimize SQL queries, stored procedures, and data models in Azure Synapse / SQL DB . Implement real-time/streaming data solutions using Event Hubs, Kafka, or Stream Analytics. Ensure data quality, governance, and security compliance . Collaborate with business and analytics teams to deliver insight-ready data solutions . Required Skills: 3–5 years of experience as a Data Engineer with strong exposure to Azure ecosystem . Expertise in Azure Data Factory, Databricks, ADLS, Synapse Analytics . Strong SQL programming and data modeling skills. Hands-on experience with Python/PySpark (Scala is a plus). Knowledge of data warehousing concepts and ETL/ELT design patterns . Experience with DevOps (Git, CI/CD), monitoring, and performance tuning . Good to Have: Exposure to Cosmos DB, Power BI, or Azure Purview . Familiarity with streaming technologies (Event Hubs, Kafka, Service Bus) . Knowledge of Terraform/Bicep for IaC. Why Join Us? Work on cutting-edge cloud data projects . Be part of a collaborative and innovative team . Opportunity to grow in advanced Azure & Big Data solutions . Interested candidates can apply directly via LinkedIn or share their resume at

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