Data Engineer (quality)
Core
Building scalable data quality solutions and automation frameworks to ensure data integrity across complex datasets for a large retail client.
Role type
Intermediate Data Engineer (Data Quality)
Builds
Data quality pipelines, automation frameworks, and observability solutions
Domain
Retail / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, Python/Java/Scala, Snowflake, Databricks, ETL, data modeling, data warehousing, data architecture
Preferred skills
Cloud systems (Azure/AWS/GCP), data management fundamentals
Responsibilities
Design and implement integration, modeling, and orchestration solutions; Build and maintain data quality pipelines; Develop automation frameworks for monitoring; Identify optimization opportunities; Monitor and resolve data quality incidents; Support technical documentation and knowledge transfer