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:

📌 Senior Data Engineer (Individual Contributor) (India)
🏢 N Human Resources & Management Systems
📍 India