Manager Data Engineering

Role Overview

We are looking for a Manager / Lead – Data Engineering & ETL Operations to drive enterprise -scale data integration and analytics solutions. The role requires strong hands -on expertise in ETL, cloud platforms, and data warehousing, along with the ability to lead teams, manage delivery, and solve complex data problems.

This is a hands -on leadership role, ideal for professionals transitioning from Senior Engineer to Manager.

Key Responsibilities

• Lead ETL development, operations, and production support
  

• Design and manage cloud -based data platforms (AWS / Azure / GCP)
  

• Build and optimize data warehouse solutions using Snowflake / Redshift
  

• Implement dimensional models including SCD Type 1/2/3
  

• Develop and orchestrate pipelines using SSIS, Matillion, SnapLogic, PySpark
  

• Ensure data quality, performance, scalability, and reliability
  

• Support downstream analytics and reporting (Tableau / Power BI)
  

• Lead small -to -medium teams, perform code reviews, and mentor engineers.
  

• Work closely with business and analytics stakeholders
  

• Drive root -cause analysis and problem resolution for data issues
  

Requirements

Must -Have

• Strong hands -on experience in ETL & Data Engineering
  

• Expertise in:
  

  • Snowflake / Redshift
    

  • SSIS, Matillion, SnapLogic
    

  • PySpark
    

• Solid understanding of Data Warehousing & SCD dimensions
  

• Experience with AWS / Azure / GCP
  

• Strong problem -solving and analytical skills
  

• Team leadership and delivery ownership experience
  

Good -to -Have

• Pharma / Life Sciences domain exposure
  

• Tableau and/or Power BI experience
  

• Experience with production support & data ops