Job Title: Data Engineer – Data Warehouse & Analytics

Location: Delhi (Work from Office)

Experience: 4–8 Years

About the Role:

We are looking for a hands-on Data Engineer to build, manage, and scale MARS Cosmetics' centralised data warehouse, creating a reliable foundation for analytics, business intelligence, and AI-driven decision-making.

Key Responsibilities:
Design, build, and maintain a scalable, centralised data warehouse.
Integrate data from ERP, sales, distribution, e-commerce marketplaces, retail, and other business systems.
Develop and automate ETL/ELT pipelines for reliable data ingestion and transformation.
Ensure data accuracy, consistency, security, and availability.
Design productive data models to support business reporting, dashboards, and advanced analytics.
Continuously optimise data infrastructure for performance, scalability, and cost.

Requirements:




4–8 years of experience in Data Engineering or Data Warehousing.
Solid proficiency in SQL, Python, ETL/ELT pipelines, and data modelling.
Hands-on experience with cloud data warehouses such as BigQuery, Snowflake, Microsoft Fabric, or Redshift.
Experience with APIs, data integration, orchestration, and tools such as dbt or Airflow.
Ability to independently architect, implement, and maintain production-grade data infrastructure.
Experience integrating ERP, retail, or e-commerce data is preferred.

Why Join MARS?

An chance to build the core data infrastructure of one of India's fastest-growing beauty brands, with substantial ownership and direct business impact.

📌 Data Engineer Data Warehouse & Analytics Delhi
🏢 MARS Cosmetics
📍 Delhi