Senior Data Engineer

HD Supply | Global Technology Center; Chennai District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

HD Supply | Global Technology Center in Chennai, India, seeks a Senior Data Engineer to design and optimize scalable, cloud-native data pipelines for enterprise analytics and decision making.

You will collaborate with cross-functional teams, leverage Snowflake, DBT and Python to integrate diverse data sources, enable reporting with Tableau, focus on data quality, performance tuning, and automation, and mentor teammates while promoting best practices and continuous innovation.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or a related field.

Responsibilities

• Design and optimize scalable, cloud-native data pipelines for enterprise analytics and decision-making.
• Collaborate with cross-functional teams and promote best practices across the data engineering function.
• Mentor team members and drive automation, performance tuning and data quality initiatives.
• Enable seamless reporting using Tableau and modern analytics on cloud platforms.

Skills

SQL

Python

PySpark

ETL/ELT pipelines

Data warehousing

Lakehouse architecture

DevOps & CI/CD

Cloud governance

Education

Bachelor's or Master's in CS/Engineering

Azure Data Engineer Associate (DP-203) desirable

Azure/Databricks cloud certifications preferred

Tools

Snowflake

DBT

Tableau

Job description

Job Description:

As a Senior Data Engineer, you will lead the design and optimization of scalable, cloud-native data pipelines that support enterprise-wide analytics and strategic decision-making. Collaborating closely with cross-functional teams, you'll leverage Snowflake, DBT and Python to integrate diverse data sources and enable seamless reporting through platforms like Tableau. This role requires a strong blend of technical expertise and business acumen, with a focus on data quality, performance tuning, and automation. You will also play a key role in fostering best practices, mentoring team members, and driving a culture of continuous improvement and innovation across the data engineering function.

Requirements

• Education and Certifications


• Bachelor's or master's degree in computer science, Engineering, or a related field


• Certifications in Azure, Databricks or cloud data platforms are preferred


• Azure Data Engineer Associate (DP-203) certification is desirable

Required Experience

• 4-7 years of total experience in Data engineering and big data pipeline development


• Demonstrated experience in Snowflake and DBT


• Experience with big data processing frameworks and modern data architecture principles

Essential Skills

• Advanced proficiency in SQL, Python, and PySpark for scalable data processing and transformation


• Hands-on experience in building end-to-end ETL/ELT pipelines using DBT.


• Strong grasp of data warehousing, lakehouse architecture, and modern analytics on cloud platforms


• Hands-on experience with large-scale data platforms and performance tuning for high-volume data pipelines


• Well-versed in DevOps practices, Git, and CI/CD pipelines for automating data engineering workflows


• Strong understanding of modern data architecture and governance frameworks in a cloud environment

Desired Skills

• Proficiency in Tableau and BI tools with experience in building scalable dashboards and optimizing data models


• Basic knowledge of SAP data models


• Ability to independently lead and deliver end-to-end data engineering projects with minimal supervision

Benefits

• Be part of a globally recognized leader in the home improvement sector, committed to operational excellence and sustainability


• Opportunity to contribute to a rapidly expanding Global Technology Center (GTC) in Chennai, playing a vital role in global operations


• Exposure to diverse global technology environment and cross-functional team collaborations


• Competitive compensation package and comprehensive benefits


• Clear pathways for career advancement and continuous learning opportunities within a high-performance organization