Data Engineer

IMEA (India, Middle East, Africa) India LIXIL INDIA PVT LTD Employee Assignment Hybrid Full Time 30 September 2026
Data Engineer
Your Responsibilities / What To Expect
Data Architecture & Medallion Logic: You will systematically transfer raw data into a modern Medallion Architecture (Bronze, Silver, Gold) and continuously expand it.
Data Integration & Connectivity: You will ensure the seamless connection of various source systems (e.g., SAP, SQL Server, MySQL, project management software, and Google Sheets) to our data warehouse in Google BigQuery.
Pipeline & Script Development: You will write high-performance scripts (primarily in Python) for data pipelines and innovative document automation.
Data Cleansing & Monitoring: You will proactively resolve raw data errors or prevent them entirely using clever scripts and real-time monitoring to guarantee top-tier data quality.
Data Visualization: You will design insightful and dynamic Tableau Dashboards built directly on data from Google BigQuery.
Automation & Innovation: You will implement straightforward automations using RPA (Robotic Process Automation) and develop smart queries.
Collaboration: You will work closely with your process architects, controlling, data warehouse colleagues and analysts to provide production-ready datasets.
Documentation: You will keep our system landscape transparent by structurally documenting the technical architecture according to the arc42 standard.
Required (Must-have)
Education: A successfully completed degree in (Business) Computer Science, Data Science, or a comparable qualification with a strong IT focus.
Tech Stack & Coding: Proficient skills in Python, SQL, and experience working with Microsoft or cloud-based data architectures.
Databases: Practical experience with relational databases (e.g., SAP, SQL Server, MySQL) and NoSQL systems.
Cloud & DWH: Proven experience with the Google Cloud Suite, specifically Google BigQuery and Google Sheets.
BI Tools: Strong practical experience in creating dashboards with Tableau.
Mindset: A structured, analytical approach to work, marked by a high commitment to data integrity, security, and performance.
Desirable (Nice-to-have) – Perfect For Your Professional Growth
Initial exposure to the Medallion Architecture (Bronze, Silver, Gold), as well as Google Vertex, App Script, or App Sheets.
First insights into Supervised Machine Learning and descriptive data analysis.
Basic knowledge of process automation (RPA).
Experience with the arc42 documentation standard.
Growth Mindset: You bring a strong willingness to learn and are eager to dive into new technologies alongside experienced data warehouse colleagues.

Work arrangement
Hybrid