VerifiedFresher

Data Engineer

HybridFull-timeGurugram +1 morePosted 2w ago89 views
Salary
Not disclosed
Experience
0-2 Years
Work mode
Hybrid
Employment
Full-time
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Job description

## About the Role LIXIL is looking for a Data Engineer to join its India team in Gurugram. The role is entry‑level and will be part of a hybrid work arrangement, collaborating with process architects, controlling, data‑warehouse colleagues and analysts to deliver production‑ready data sets. ## Responsibilities - Design and implement a Medallion Architecture (Bronze, Silver, Gold) to transform raw data into curated datasets. - Integrate source systems such as SAP, SQL Server, MySQL, project‑management tools and Google Sheets into Google BigQuery. - Develop high‑performance data pipelines and automation scripts primarily using Python. - Ensure data quality through cleansing, monitoring and proactive error handling. - Build interactive Tableau dashboards directly on BigQuery data. - Implement simple RPA automations and write smart queries for ongoing improvements. - Document technical architecture following the arc42 standard. ## Required Qualifications - Degree in Computer Science, Data Science or a related field. - Strong programming skills in **Python** and **SQL**. - Hands‑on experience with relational databases (e.g., SAP, SQL Server, MySQL) and NoSQL systems. - Proven experience with Google Cloud Platform, especially **Google BigQuery** and **Google Sheets**. - Ability to create visualisations using **Tableau**. - Structured, analytical mindset with a focus on data integrity and performance. ## Desired (Nice‑to‑have) Skills - Familiarity with Medallion Architecture concepts and tools like Google Vertex, App Script or App Sheets. - Basic exposure to supervised machine learning and descriptive data analysis. - Knowledge of RPA tools and the arc42 documentation framework. - A growth mindset and eagerness to learn new technologies alongside senior data‑warehouse professionals.

Required skills

Job locations

GurugramIndia

Compensation

Salary for this role is not disclosed by the employer. We don’t have enough benchmark data from similar roles to produce a reliable estimate. The actual compensation will be discussed during the interview process.

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