Job Description: Data Engineer (Retail & CPG)

· Experience: 5–7 Years (Heavy Hands-on)

· Location: India (Hybrid) – Bangalore/Hyderabad/Others

· Domain: Retail & Consumer Packaged Goods (CPG)

Role Overview

We are looking for a powerhouse Senior Data Engineer with 5 to 7 years of deep, hands-on experience to design, build, and optimize our core data platforms. You will be building robust data pipelines that process large-scale retail data (POS, inventory, supply chain, customer loyalty) to drive real-time business decisions.

This is a 100% hands-on role. If you love writing clean code, optimizing massive Spark jobs, and automating everything via DataOps, you will thrive here.

Technical Stack & Core Responsibilities

1. Data Engineering & Processing (Databricks, PySpark, Python)

· Pipeline Development: Design and implement highly scalable, end-to-end data pipelines (ETL/ELT) using Python and PySpark on Azure Databricks.