What you'll be doing

- Execute automated data validation tests (e.g. dbt tests, Great Expectations, Soda) across data pipelines.
- Monitor daily data quality checks in Google BigQuery or another MPP data warehouse (e.g. Snowflake), and escalate failures and anomalies.
- Perform data profiling and data cleansing to correct errors and improve data accuracy.
- Harmonize master data entities across e-commerce, POS, and ERP feeds.
- Build and maintain data quality rules and tests using SQL, Python, and dbt.
- Support reconciliation of data discrepancies across systems under guidance.
- Support data cataloging and lineage (DataHub) and produce data quality reports and scorecards using Looker and Excel.

What you'll need to succeed

- Minimum 3 years of experience in data quality or data engineering.
- Proficiency in SQL and Python, with experience in dbt and automated data validation tools (e.g. Excellent Expectations, Soda).




- Experience monitoring data quality in MPP cloud data warehouses (e.g. Google BigQuery, Snowflake), profiling, and performing data cleansing.
- Experience harmonizing master data across e-commerce, POS, and ERP feeds.
- Familiarity with data quality dimensions and reconciliation concepts.
- Familiarity with data cataloging (Datahub), Looker, and Excel for data quality reporting.
- Hands-on experience with AI coding assistants (e.g. Claude Code, GitHub Copilot, Cursor) for AI-assisted development.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Quality) (Bengaluru)
🏢 Chalhoub Group
📍 Bengaluru