About Us
LIXIL is a global leader in water and housing technology solutions. Our mission is simple: make better homes a reality for everyone.
We own world-leading brands such as INAX, American Standard, GROHE, and TOSTEM. Every day, our solutions touch more than one billion people, turning houses into comfortable homes.
We care deeply about the planet. Our operations follow sustainable and eco-friendly practices. At LIXIL, we foster an inclusive and empowering culture. We value creativity, innovation, and entrepreneurial thinking.
The world is changing fast. Technology is advancing. Customer needs are evolving. These changes create new opportunities for innovation, growth, and problem-solving.
When you join LIXIL, you enter a home for talent, growth, and ambition. You will have the chance to learn, innovate, and contribute to solutions that matter globally.
We invest in our employees. Training, mentorship, and growth opportunities are available for everyone. You will collaborate with experts across different teams, functions, and regions.
At LIXIL, we believe in making a positive impact—both for customers and the planet. Your work will influence smarter homes, cleaner water, and sustainable living.
Job Details
- Job Title: Data Engineer
- Job ID: 242
- Location: India (Fully Remote Possible)
- Employment Type: Full-Time, Employee Assignment
- Batch: Freshers to Experienced Professionals
- Experience: 2+ Years
- Salary: As per Industry Standards
- Qualification: Bachelor’s or Master’s Degree in Computer Science, IT, or related fields
- Certifications: Not Mandatory
Key Responsibilities
- Design and develop efficient data pipelines to extract and transform data from multiple sources.
- Build and maintain data warehouses, lakes, and cloud storage solutions for enterprise data.
- Ensure data accuracy and quality by implementing validation, cleansing, and normalization processes.
- Collaborate with data analysts, business owners, and stakeholders to understand requirements.
- Optimize data systems for scalability, performance, and reliability.
- Implement and maintain data governance policies for security, compliance, and auditing.
- Support enterprise data integration, including SAP ERP and other critical systems.
- Monitor and troubleshoot real-time data processing frameworks and resolve issues promptly.
- Participate in code reviews, documentation, and adoption of best practices in data engineering.
- Provide mentorship or guidance to junior data engineers and interns when required.
- Evaluate and recommend new tools, frameworks, and technologies for better data solutions.
- Ensure smooth collaboration with cross-functional and global teams for project delivery.
Required Skills
- Hands-on experience with cloud data platforms: Google BigQuery, AWS Redshift, Azure Synapse, or Snowflake.
- Strong programming skills in SQL, Python, and Java for data processing.
- Expertise in data pipeline and ETL tools: Apache Airflow, Informatica, Talend, SAP BODS, or API-based extraction.
- Knowledge of real-time data streaming and processing frameworks.
- Understanding of Git and CI/CD processes for version control and automated deployments.
- Experience with Infrastructure-as-Code tools like Terraform for cloud management.
- Ability to work collaboratively with technical and non-technical stakeholders.
- Familiarity with data visualization tools such as Tableau, Looker, or Power BI.
- Strong English communication skills for reporting and cross-team coordination.
- Proven ability to solve problems independently and deliver results on time.
Preferred Skills
- Experience in data modeling, architecture design, and analytics frameworks.
- Knowledge of business intelligence tools and reporting solutions.
- Exposure to Python ETL frameworks and automation scripting.
- Understanding of cloud security best practices and compliance standards.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Ability to work in agile or cross-functional environments effectively.
- Knowledge of CI/CD automation for data pipelines.
Perks and Benefits
- Competitive salary and performance-based bonuses.
- Health insurance, wellness programs, and mental health support.
- Paid time off and flexible working hours for work-life balance.
- Access to professional development and certification programs.
- Work in a diverse, inclusive, and innovative culture.
- Opportunity to work fully remotely or in a hybrid model.
- Exposure to cutting-edge cloud technologies and data platforms.
- Mentorship and career growth opportunities within a global company.
- Recognition and reward for innovative ideas and outstanding performance.
- Participation in projects with global impact on smart homes and sustainability.
Why Join Us
At LIXIL, you will join a team that shapes the future of living. Your work will impact homes and communities worldwide.
We value continuous learning and professional growth. Employees gain access to tools, training, and mentorship. You will grow your skills in cloud, data engineering, and analytics.
Our culture encourages collaboration, creativity, and innovation. We celebrate diversity, inclusion, and sustainability in every project.
Joining LIXIL means contributing to solutions that touch millions of lives every day. You will have freedom to experiment, innovate, and implement ideas.
You will participate in projects that improve processes, data quality, and business insights. Your work will directly support decision-making and corporate strategy.
At LIXIL, you are more than an employee. You are a change-maker, contributing to smarter homes, cleaner water, and sustainable solutions.
This role allows exposure to global business operations, cloud technologies, and data-driven decision-making. You will work with experts across different regions, technologies, and disciplines.
By joining, you become part of a forward-thinking, innovation-driven company. Your contributions will accelerate transformation in the home and water sector.
How to Apply
Click below to apply for the Data Engineer role at LIXIL. Join a company that values talent, creativity, and growth.
