Senior Azure Data Engineer (ADF, Databricks, PySpark)

Exciting Opportunity Alert! 🌟 HTC Global Services is hiring Senior Azure Data Engineer (ADF, Databricks, PySpark) for one of our premium projects.

Job Summary
We are looking for a skilled Senior Azure Data Engineer with strong experience in building scalable data pipelines using Azure services. The ideal candidate should have hands-on expertise in Azure Data Factory (ADF), Databricks, PySpark, and SQL, along with exposure to modern data engineering practices.
🔹 Key Responsibilities
Design, develop, and maintain scalable data pipelines using ADF and Azure Databricks
Implement data transformation workflows using PySpark
Work with structured and unstructured data in Azure data platforms
Optimize data pipelines for performance, reliability, and cost efficiency
Develop and manage Spark-based data processing frameworks
Collaborate with stakeholders to understand data requirements and deliver solutions
Ensure data quality, governance, and security standards are maintained
Troubleshoot and resolve production issues in data workflows
🔹 Required Skills
Strong experience in Azure Data Engineering stack Azure Data Factory (ADF)
Azure Data bricks
Hands-on experience with PySpark and Spark
Strong SQL skills
Experience with data warehousing concepts and ETL/ELT processes
Good understanding of distributed data processing
🔹 Good to Have
Exposure to Spark Declarative Pipelines / Lakeflow (Delta Live Tables concept)
Experience with Delta Lake
Knowledge of CI/CD pipelines in Azure
Experience with data modeling and optimization techniques

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