Senior Azure Data Engineer (ADF, Databricks, PySpark)
Job Description
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
#HTCGlobalServices #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #Azuredataengineer #ADF #ADB #Databricks #Lakeflow #DLT #DeltaLake #pyspark #spark