Senior Azure Data Engineer; ADF, Databricks, PySpark

Position: 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

Py Spark
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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