Role Overview

- We are looking for a Manager / Lead Data Engineering & ETL Operations to drive enterprise-scale data integration and analytics platforms. This is a hands-on leadership role, ideal for senior data engineers transitioning into managerial responsibilities.

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 teams, conduct code reviews, and mentor engineers

- Collaborate with business and analytics stakeholders

- Drive root-cause analysis and resolution of complex data issues

Must-Have Skills

- 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

- Team leadership and delivery ownership

Good-to-Have :

- Pharma / Life Sciences exposure

- Tableau and/or Power BI

- Experience in production support & data ops