Senior Data Engineer (Quality)
Chalhoub Group (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–28 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead data quality engineering efforts across e-commerce and ERP data pipelines ensuring high data integrity through automated validation, profiling, anomaly detection, and reconciliation.
- Design and implement data quality dimensions, SLAs, monitoring, alerting, and reconciliation frameworks using SQL, Python, dbt, automated testing tools, and MPP data warehouses like Google BigQuery or Snowflake.
- Provide technical guidance and mentorship to data quality engineers, collaborate with governance and engineering teams, and support master data management and data lineage tracing using tools like DataHub.
Minimum Requirements
- Minimum 5 years of experience in data quality engineering or data engineering.
- Strong skills in SQL and Python with hands-on experience in dbt and automated data testing tools such as Great Expectations, Soda, or Monte Carlo.
- Experience working with e-commerce and ERP data pipelines including data validation, anomaly detection (including ML-based), reconciliation, and defining data quality SLAs.
- Familiarity with MPP cloud data warehouses (Google BigQuery, Snowflake), data cataloging and lineage tools (DataHub), and experience mentoring technical team members.
Ideal Candidate Profile
- Experienced in operationalizing automated data quality checks and resolving cross-system data reconciliation errors in complex retail data environments.
- Strong technical operator comfortable with SQL, Python, dbt, and AI-assisted development tools like GitHub Copilot, supporting scalable, automated data quality frameworks.
- Strategic thinker who can define quality dimensions, SLAs, and scoring methods while collaborating across technical and governance stakeholders in a luxury retail technology setting.