Engineering Manager – Data (People Manager)

N Human Resources & Management Systems; Dehradun; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

N Human Resources & Management Systems is seeking an Engineering Manager – Data in Dehradun. This hybrid role leads a data engineering team, shaping architectures and delivering scalable ETL/ELT pipelines on Azure.

You will mentor engineers, drive project delivery, and partner with clients to translate business needs into robust technical solutions. Deep hands-on expertise with Azure data services is essential for success.

Qualifications

• 10–15 years of experience in data engineering/architecture
• Hands-on with data pipelines and cloud platforms
• Strong leadership and mentoring skills
• Ability to design scalable ETL/ELT solutions and collaborate with clients

Responsibilities

• Lead and mentor a team of Data Engineers while staying hands-on with development.
• Drive technical architecture, solution design, and project delivery.
• Collaborate with clients to understand business requirements and provide technical solutions.
• Build and optimize scalable ETL/ELT pipelines using Azure technologies.
• Review code, conduct technical mentoring, and ensure engineering best practices.
• Participate in sprint planning, resource allocation, and stakeholder communication.
• Support hiring, technical interviews, and team development.

Skills

Team Leadership

Client & Stakeholder Management

Hands-on Leadership

Tools

Azure Databricks

Azure Data Factory

Azure Synapse Analytics

ADLS Gen2

PySpark

Python

SQL

Spark

Delta Lake

ETL/ELT

Microsoft Fabric

Unity Catalog

Snowflake

Airflow

Azure DevOps

Job description

Engineering Manager – Data

Location: Dehradun (Hybrid)

Experience: 10–15 Years

Key Responsibilities

• Lead and mentor a team of Data Engineers while remaining hands‑on with development.
• Drive technical architecture, solution design, and project delivery.
• Collaborate with clients to understand business requirements and provide technical solutions.
• Build and optimize scalable ETL/ELT pipelines using Azure technologies.
• Review code, conduct technical mentoring, and ensure engineering best practices.
• Participate in sprint planning, resource allocation, and stakeholder communication.
• Support hiring, technical interviews, and team development.

Required Skills

• Azure Databricks
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• ADLS Gen2
• PySpark
• Python
• SQL
• Spark
• Delta Lake
• ETL/ELT
• Team Leadership
• Client & Stakeholder Management

Preferred Skills

• Microsoft Fabric
• Unity Catalog
• Snowflake
• Airflow
• Azure DevOps