Job Summary
Experience:
4.00 - 7.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Chennai
Functional Area:
IT Software - Application Programming / Maintenance
Designation:
G3 - Senior Data Engineer with Java
Key Skills:
Java,j2ee,springboot,microservices,kafka,mongodb
Educational Level:
Graduate/Bachelors
Job Post Date:
2026-04-29 10:38:00
Stream of Study:
Degree:
BCA, BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, MCA, ME-Comp/IT, ME-Other, 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
Job Description
Duties & Responsibilities
Lead the design, development, and optimization of ETL/ELT pipelines and workflows
Lead and contribute to API design and development, including RESTful services used by both first-party and third-party consumers
Design, develop, and maintain Java Spring Boot–based microservices with a strong focus on scalability, reliability, and performance
Write, tune, and optimize advanced SQL queries for large-scale data processing
Build and maintain data warehouses and data models (relational, dimensional, star schema)
Develop full-stack applications, including new capabilities and features, for both on-premises and cloud-based applications.
Utilize modern programming languages to develop scalable, secure, and high-performance applications that align with business needs.
Translate business requirements into robust, well-architected, and reusable data solutions
Partner with analysts, data scientists, and stakeholders to deliver trusted, actionable datasets
Implement and maintain unit tests, integration tests, and validation frameworks to ensure pipeline reliability
Document workflows, and design decisions to support knowledge sharing and operational continuity
Apply coding standards, CI/CD practices, version control, and peer code reviews to ensure high-quality deliverables
Proactively monitor, optimize, and troubleshoot pipelines for performance, scalability, and cost efficiency
Support deployments and handle post-production monitoring and incident resolution
Mentor associate engineers, providing technical guidance and feedback
Requirements
Minimum Years of Experience
5+ Yrs - Data Engineering
3+ Yrs - Snowflake or any cloud Data warehouse
2+ Yrs - RESTful APIs, Java Springboot, API Integration
1+ Yrs - Python
Basic Qualifications
Bachelor’s degree in computer science, Information Systems, Engineering, or a related field
4–7 years of hands-on experience in data engineering or related fields
3+ years of hands-on experience in developing RESTful APIs and microservices using Spring Boot, and in Node.js development, including API integration and service orchestration.
Proficiency in batch processing, job scheduling, and performance tuning with Spring Batch.
Expertise in writing complex SQL queries, optimizing, using advanced functional and turning the performance on cloud data warehouse environment.
Strong experience with data warehousing concepts, design, and implementation
Minimum 3 years of hands-on experience with Snowflake or modern cloud data warehouse
Minimum 2 years of hands-on experience in data modeling
Minimum 1 year of hands-on Python development (ETL/ELT scripting, OOP, automation)
Strong knowledge of at least one major cloud platform (AWS, Azure, or GCP)
Experience with orchestration tools (e.g., Airflow, ADF, Luigi) for workflow management
Demonstrated ability to lead and mentor teams while managing multiple priorities
Strong communication and stakeholder management skills
Strong hands-on experience with data warehousing concepts, design, and implementation
Preferred Qualifications
Hands-on experience with DBT (Data Build Tool) for data transformations
Familiarity with DevOps and CI/CD best practices in data engineering
Exposure with real-time/streaming platforms (Kafka, Spark Streaming, Flink)
Exposure to the e-commerce domain or large-scale B2B/B2C environments
Has the ability to break down problems and estimate time for development tasks
Experience mentoring and guiding junior engineers
Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team
Learns organization vision statement and decision-making framework. Able to understand how team and personal goals/objectives contribute to the organization vision
