Mumbai, Maharashtra, India
Information Technology
Full-Time
LIXIL
Overview
IMEA (India, Middle East, Africa)
India
LIXIL INDIA PVT LTD
Employee Assignment
Fully remote possible
Full Time
1 May 2025
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
India
LIXIL INDIA PVT LTD
Employee Assignment
Fully remote possible
Full Time
1 May 2025
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.
- 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.
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