Role Overview

We are seeking a highly skilled Lead Data Engineer to design,
build, and scale our next-generation Digital Experience Analytics &
Insights platform, who can guide and mentor other junior engineers to build a
strong high performing team.

You will collaborate closely with data
engineers, product managers, and analytics teams to create data foundations and
AI-driven decision systems that maximize business impact while ensuring
scalability and technical excellence.

Requirements
Expected
Qualifications

• 6 – 10 years
of relevant experience in Azure Data Engineering.

• Minimum 2
years of experience working with Adobe Analytics.

• Strong Agentic
AI Experience in Databricks and expertise in DBT framework for data
transformation and processing.

• Proficiency
in Python for data engineering and automation tasks.

• 6-10 years robust
hands-on experience with SQL for querying and data manipulation.

• Linux scripting




experience for data ingestion and manipulation.

• Robust
experience in data architecture, data modeling, data quality and
governance, and working knowledge on data warehouses such as Snowflake,
for data processing and operationalization

• Excellent
problem-solving skills and ability to work independently.

• Strong
communication skills to collaborate with technical and non-technical teams
who can efficiently work in onsite-offshore model

• Collaborates
with other cloud teams for deployment on Azure or GCP

• Knowledge of
CI/CD, DevOps, and Infrastructure as Code (IaC) practices is an advantage

• Experience
working with Azure Data Factory (ADF), Azure Data Lake, and PowerBI is a
plus.

• Prior
experience in e-commerce domain is a plus

📌 Lead Data Engineer (Chennai)
🏢 Staples India Business Innovation Hub Private
📍 Chennai