Job Summary
Experience:
4.00 - 7.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Chennai
Functional Area:
IT Software - Other
Designation:
Sr Data Engineer - K
Key Skills:
Snowflake,Databricks,Data Pipeline,Data Modelling
Educational Level:
Graduate/Bachelors
Job Post Date:
2026-02-20 14:14:24
Stream of Study:
Degree:
BCA, BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, MCA, MCM, ME-Comp/IT, ME-Other, MIS, MSc-Comp/IT, MS-Comp/IT, MSc-Other, MS-Other, MTech-Comp/IT, MTech-Other
Company Description
We’re more than simply paper, ink, and toner. We provide the supplies and services that thousands of businesses around the world need to succeed. We’re the experts in technology and conferencing equipment, cleaning products, furniture, and even breakroom items like snacks and coffee, too. (After all, innovation requires plenty of fuel!) This is a company of more than 13,000 smart, insightful experts who believe in the power of what can be and are driven to make business easier for our customers.
Job Description
Data Engineer - Python, Snowflake
Job Description :
Duties and Responsibilities
Design, build and test end to end data pipeline including data ingestion (streaming, events and batch), data integration, data curation
Build and support data platform on the cloud
Define and implement automation of jobs and testing
Optimize the data pipeline to support workloads and use cases.
Support mission critical applications and near real time data needs from the data platform.
Build and support reusable framework to ingest, integration and provision data.
Capture and publish metadata and new data to subscribed users
Work collaboratively with product managers, data scientists as well as business partners and actively participate in solution thinking sessions
Participate in design and code reviews
Leads data disaster recovery planning and execution with the disaster recovery team and internal team members.
Mentors more junior members of the team
Determines risk of various configurations and options for data administration and is able to communicate issues to managers and team.
Leads and develops internal standards for data administration and data system documentation.
Develops physical data design. Defines, documents and executes, referential integrity requirements, constraints and techniques. Identifies index requirements and determines storage requirements
Requirements
Basic Qualifications
Bachelor’s degree in computer science, Information Systems, Engineering, or a related field
4+ years of hands-on experience in data engineering and building data pipelines
4+ years of experience in writing complex SQL and Python
Solid hands-on experience with data warehousing concepts and implementations
4+ years of experience with Snowflake or another modern cloud data warehouse
4+ years of hands-on Python development
Understanding of Data modeling and Data warehousing concepts
2+ years experience with cloud computing (Azure)
Familiarity with at least one cloud platform (AWS, Azure, or GCP)
Strong analytical, problem-solving, and communication skills
Retail/e-comm experience
Preferred Qualifications
Experience with DBT (Data Build Tool) for data transformations
Exposure to real-time/streaming platforms (Kafka, Spark Streaming, Flink)
Familiarity with CI/CD and version control (Git) in data engineering projects
Exposure to the e-commerce or customer data domain
Experience working on multiple concurrent deliverables
