Data Engineer

The iScale; Gurugram District; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

LIXIL INDIA PVT LTD is seeking a Data Engineer to design, build, and maintain large-scale data systems. You will develop data pipelines, manage warehouses and data lakes, and collaborate with analysts to support BI and analytics.

The role emphasizes data quality, governance, and scalable architectures. Ideal candidates will have hands-on experience with cloud data solutions (BigQuery, Redshift, Snowflake, BigQuery) and strong SQL, Java, and Python skills, plus familiarity with Airflow and ETL

Qualifications

• Desirable hands-on with modern cloud data platforms and data pipelines.
• Experience implementing, supporting and administering cloud-based data solutions.
• Strong SQL, Java and Python programming skills.

Responsibilities

• Design and develop data pipelines to extract, transform, and load data.
• Build and maintain data warehouses, data lakes and storage solutions.
• Ensure data quality, validation, and normalization.
• Collaborate with data analysts and business process owners.
• Optimize data systems for performance, scalability, and reliability.
• Develop and enforce data governance policies.

Skills

BigQuery

Redshift

Azure Synapse

Snowflake

SQL

Java

Python

Airflow

ETL

Git

Terraform

CI/CD

Data governance

Looker

Tableau

English comms

Tools

Informatica

Talend

SAP BODS

APIs

Job description

Company Locations:- IMEA (India, Middle East, Africa)

India

LIXIL INDIA PVT LTD

Job Type- Fully remote possible

Full Time

Title Data Engineer

Job Description A Data Engineer is responsible for designing, building, and maintaining large-scale data systems and infrastructure. Their primary goal is to ensure that data is properly collected, stored, processed, and retrieved to support business intelligence, analytics, and data-driven decision-making.

Key Responsibilities

• Design and Develop Data Pipelines: Create data pipelines to extract data from various sources, transform it into a standardized format, and load it into a centralized data repository.
• Build and Maintain Data Infrastructure: Design, implement, and manage data warehouses, data lakes, and other data storage solutions.
• Ensure Data Quality and Integrity: Develop data validation, cleansing, and normalization processes to ensure data accuracy and consistency.
• Collaborate with Data Analysts and Business Process Owners: Work with data analysts and business process owners to understand their data requirements and provide data support for their projects.
• Optimize Data Systems for Performance: Continuously monitor and optimize data systems for performance, scalability, and reliability.
• Develop and Maintain Data Governance Policies: Create and enforce data governance policies to ensure data security, compliance, and regulatory requirements.

Experience & Skills

• Hands-on experience in implementing, supporting, and administering modern cloud-based data solutions (Google BigQuery, AWS Redshift, Azure Synapse, Snowflake, etc.).
• Strong programming skills in SQL, Java, and Python.
• Experience in configuring and managing data pipelines using Apache Airflow, Informatica, Talend, SAP BODS or API-based extraction.
• Expertise in real-time data processing frameworks.
• Strong understanding of Git and CI/CD for automated deployment and version control.
• Experience with Infrastructure-as-Code tools like Terraform for cloud resource management.
• Good stakeholder management skills to collaborate effectively across teams.
• Solid understanding of SAP ERP data and processes to integrate enterprise data sources.
• Exposure to data visualization and front-end tools (Tableau, Looker, etc.).
  • Strong command of English with excellent communication skills.