Lixil Recruitment Drive 2025 | Lixil Hiring Software Engineer

www.djobbuzz.com 29 Dec 2025
Company Name
Lixil
Company Website
https://www.lixil.com/
Experience
1-3 years
Job Role
Junior Data Engineer
Job Type
  • Experienced
Job Location
  • India
Skills
  • SQL
  • Python
Education
  • BE/BTech
Branch
  • IT
  • CS
Job will expire on
27 Feb 2026

About Company

LIXIL makes pioneering water and housing products that make better homes a reality for everyone, everywhere. 

Born in 2011 through a merger of five of Japan's most successful building materials and housing companies, we draw on our Japanese heritage to create world-leading technology and innovate to make high quality products that transform homes. Today, we're a global enterprise with approximately 53,000 employees in more than 150 countries worldwide, having expanded internationally by acquiring some of the most trusted names in our industry, including GROHE and American Standard.

LIXIL combines meaningful design, an entrepreneurial spirit, a dedication to improving accessibility for all, and responsible business growth to make things that matter – to people, to communities, and to the world we live in.

Job Overview

  • A Data Engineer plays a crucial role in designing, building, and maintaining the infrastructure that powers our data-driven decisions.
  • You’ll be at the heart of our data ecosystem, ensuring data is reliably collected, stored, and processed to provide clean, accessible data for our analytics and business intelligence teams.

Eligibility Criteria

  • Educational Background: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • Professional Experience: 1-3 years of hands-on experience in a data engineering or similar role.
  • Technical Proficiency:
  • Communication & Soft Skills:
  • Availability: Able to join immediately.

Job Description

  • Design & Develop Data Pipelines: Assist in building, maintaining, and optimizing scalable ETL/ELT data pipelines to ingest and transform large datasets from diverse sources, including APIs, databases, and third-party systems.
  • Data Modeling & Warehousing: Support the development of robust data models and schemas in both relational and cloud-native data warehouses (e.g., Google BigQuery).
  • Ensure Data Integrity: Monitor, troubleshoot, and improve the performance and reliability of data pipelines, ensuring data quality, consistency, and accuracy.
  • Data Source Integration: Work with various data formats and sources, including structured, semi-structured, and streaming data.
  • Data Governance & Security: Collaborate with senior engineers to enforce data governance, quality, and security standards across the organization.
  • Code & Automation: Write clean, efficient, and well-documented code (SQL, Python) for data engineering tasks. Utilize Git and CI/CD principles for version control and automated deployments.
  • Team Collaboration: Document data workflows and contribute to a shared knowledge base, providing ad-hoc support to data analysts and business users.

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