Senior Data Engineer (Individual Contributor)
N Human Resources & Management Systems · Dehradun, Uttarakhand, India
Human Resources Services · 11-50 employees
About the role
Design and develop scalable ETL/ELT pipelines while building data solutions using Azure Databricks and PySpark. Collaborate with technical teams to implement Medallion Architecture and optimize enterprise data solutions.
What they look for
Requirements
Requires 6-10 years of experience with a strong focus on Azure data services including ADF, Synapse, and Databricks. Proficiency in Python, SQL, and Spark SQL is essential for this individual contributor role.
Full description
Job Title: Senior Data Engineer
Location: Dehradun (Hybrid)
Experience: 6–10 Years
Key Responsibilities
- 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.
Required Skills
- Azure Databricks
- Azure Data Factory (ADF)
- ADLS Gen2
- Azure Synapse
- PySpark
- Python
- SQL
- Spark SQL
- Delta Lake
- ETL/ELT Development
Preferred Skills
- 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: tech.ta.support@nhrms.in
