Pioneering water and housing products—from faucets to windows—making better homes globally.
Design, build, and maintain ETL pipelines and data warehouses for analytics.
8 days ago ago
Intermediate (4-7 years), Junior (1-3 years)
Full Time
Gurugram, Haryana, India
Office Full-Time
Company Size
48,660 Employees
Service Specialisms
Home construction
Renovation
Maintenance management
Real estate transactions
Real estate management
Brokerage
Housing-related financial services
Curtain walls
Sector Specialisms
Housing
Building Materials
Sanitary Ware
Windows
Doors
Interiors
Exteriors
Structural Materials
Role
Description
data governance
data modeling
data warehousing
pipeline development
code automation
data integration
Data Governance & Security: Collaborate with senior engineers to enforce data governance, quality, and security standards across the organization.
Data Modeling & Warehousing: Support the development of robust data models and schemas in both relational and cloud-native data warehouses (e.g., Google BigQuery).
Team Collaboration: Document data workflows and contribute to a shared knowledge base, providing ad-hoc support to data analysts and business users.
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.
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.
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.
Requirements
data engineering
1-3 years
bachelor's
computer science
communication
information systems
Communication & Soft Skills:
Professional Experience: 1-3 years of hands-on experience in a data engineering or similar role.
Educational Background: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.