N Human Resources & Management Systems

Senior Data Engineer

N Human Resources & Management Systems · Dehradun, Uttarakhand, India

Human Resources Services · 11-50 employees

13 h ago
Senior (5-10 yrs) Full-time India
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About the role

Develop and optimize scalable ETL/ELT pipelines and data workflows using Databricks and PySpark. Design robust data models and implement Medallion Architecture while collaborating with cross-functional teams to ensure data quality.

What they look for

Databricks Python PySpark SQL Delta Lake Azure Data Factory Azure Databricks Azure Synapse ETL/ELT Data Engineering Medallion Architecture Data Modeling Cloud Migration Troubleshooting Performance Optimization

Requirements

Requires strong expertise in Databricks, Python, and SQL for enterprise data platform development. Preferred qualifications include experience with cloud migration and modern data engineering projects.

Full description

Senior Data Engineer

Job Title

Senior Data Engineer

Location

Dehradun / Delhi

Employment Type

Full-Time

Job Summary

We are seeking an experienced Senior Data Engineer with strong expertise in Databricks, Python, and SQL to design, build, and optimize scalable enterprise data platforms.

Key Responsibilities

  • Develop scalable ETL/ELT pipelines.
  • Build and optimize data solutions using Databricks.
  • Develop PySpark applications and data workflows.
  • Design data models and transformation logic.
  • Implement Medallion Architecture and Delta Lake.
  • Collaborate with cross-functional teams.
  • Optimize performance and ensure data quality.
  • Support production deployments and troubleshooting.

Required Skills

  • Databricks
  • Python
  • PySpark
  • SQL
  • Delta Lake
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse
  • ETL/ELT
  • Data Engineering
  • Medallion Architecture

Preferred Qualifications

  • Experience with enterprise Data Engineering projects.
  • Exposure to cloud migration and modern data platforms.
  • Strong analytical and problem-solving skills.