Data Engineer
Chalhoub Group (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 10–20 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build, maintain, and monitor automated ETL/ELT data pipelines on cloud platforms like Google BigQuery or Snowflake.
- Transform and optimize raw transactional data into analytics-ready, dimensional models and reporting schemas using dbt and SQL.
- Develop and maintain BI dashboards and reports using Looker (LookML) and Power BI, ensuring data reliability and freshness.
Minimum Requirements
- Minimum 3 years of experience building and operating data pipelines.
- Proficiency in SQL and Python; hands-on experience with dbt for data transformation and dimensional modeling.
- Experience with Google BigQuery (including partitioning, clustering, query optimization), Apache Airflow, and Airbyte for orchestration and data ingestion.
- Hands-on experience with cloud concepts, containerisation tools like Docker and Kubernetes, and BI dashboard development with Looker and Power BI.
Ideal Candidate Profile
- Experienced in end-to-end cloud data platform pipeline development and optimization, with strong focus on data reliability and performance.
- Comfortable working in a hybrid luxury retail technology environment, integrating diverse data sources (e-commerce, POS, ERP) and delivering business-facing analytics solutions.
- Skilled in modern software engineering practices including Git workflows, CI/CD, code reviews, and use of AI-assisted development tools.