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The Role
Design and develop scalable ETL/ELT pipelines using Azure Databricks, PySpark, Azure Data Factory, Synapse Analytics, ADLS Gen2, and Delta Lake. Optimize Spark jobs for performance and scalability, implement Medallion Architecture, and collaborate with technical teams to deliver enterprise data solutions.
Summary Generated by Built In
Job Title: Senior Data Engineer
Location: Dehradun (Hybrid)
Experience: 6–10 Years
- Design and develop scalable ETL/ELT pipelines.
- Build data solutions using Azure Databricks and PySpark.
- Develop and optimize Azure Data Factory pipelines.
- Work with Azure Synapse Analytics and ADLS Gen2.
- Implement Delta Lake and Medallion Architecture.
- Optimize Spark jobs for performance and scalability.
- Collaborate with technical teams to deliver enterprise data solutions.
- Azure Databricks
- Azure Data Factory (ADF)
- ADLS Gen2
- Azure Synapse
- PySpark
- Python
- SQL
- Spark SQL
- Delta Lake
- ETL/ELT Development
- Microsoft Fabric
- Unity Catalog
- Airflow
- Kafka
- Snowflake
Interested candidates can share their updated resume along with their Current CTC, Expected CTC, Notice Period, and Current Location to: [email protected]
Skills Required
- 6-10 years of experience
- Azure Databricks
- Azure Data Factory
- ADLS Gen2
- Azure Synapse
- PySpark
- Python
- SQL
- Spark SQL
- Delta Lake
- ETL/ELT development
- Microsoft Fabric
- Unity Catalog
- Airflow
- Kafka
- Snowflake
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The Company
What We Do
nHRMS is a strategic human-resources partner providing end-to-end solutions for organizations in the United States and India. Its services span executive search and talent acquisition, performance management, HR advisory, organization strategy, HR technology, leadership development, labor-code compliance, workforce productivity, and learning. The firm supports clients across the employee lifecycle, combining people-first consulting with technology-enabled systems to help organizations scale.
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