Position Details
About this role
A remote Data Quality Engineer role focused on validating and monitoring data pipelines, ensuring data integrity across cloud platforms.
Key Responsibilities
- Design data quality tests
- Monitor data pipelines
- Troubleshoot data issues
- Generate data quality reports
- Collaborate with data engineers
Technical Overview
Involves data engineering, scripting, cloud data services, and pipeline orchestration tools like Apache Airflow, AWS Glue, and Azure Data Factory.
Ideal Candidate
The ideal candidate is a mid-level data quality engineer with 3+ years of experience in data pipelines, ETL processes, and cloud platforms like AWS, Azure, or GCP. They possess strong SQL and scripting skills, with a focus on data validation and pipeline monitoring.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with SQL or scripting, No familiarity with data pipeline tools, No cloud platform experience
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