Lead Data Engineer
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Summary
Lead Data Engineer at Staples in Chennai who designs, builds, and scales a Digital Experience Analytics & Insights platform while mentoring junior engineers. Core stack: Azure data engineering, Databricks (with Agentic AI), dbt, Python, SQL, Linux, Adobe Analytics, and Snowflake.
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 strong
hands-on experience with SQL for querying and data manipulation.
- Linux scripting
experience for data ingestion and manipulation.
- Strong
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