
Building Scalable Data Systems
2 days ago
We are seeking an experienced Senior Data Engineer to fill a key position at our organization. This role involves designing, developing, and maintaining large-scale data systems using advanced SQL development skills.
- Analyze and resolve complex data quality issues across multiple related tables.
- Design and implement efficient database schema changes and rollback strategies.
- Collaborate with product and QA teams to ensure data accuracy and reproducibility.
- Document root cause analysis and communicate solutions to stakeholders.
Must-Have Skills:
- Advanced SQL Development: Strong hands-on experience with complex joins, aggregations, and performance optimization.
- Data Remediation Expertise: Proven ability to debug and fix production data issues.
- Database Migration & Rollback Experience: Familiarity with schema migrations and rollback tools.
- Data Validation & QA: Ability to design and execute validation steps to ensure accuracy.
Nice-to-Have Skills:
- Experience in ETL processes, data pipelines, or big data technologies.
- Knowledge of cloud databases (AWS RDS, Azure SQL, GCP BigQuery).
- Familiarity with Agile/Scrum methodologies.
This is a remote opportunity ideal for professionals who thrive on solving challenging data problems and want to work with global clinical trial systems in a collaborative environment.
The ideal candidate will have strong problem-solving skills, excellent communication skills, and the ability to collaborate effectively with cross-functional teams.
A background in computer science or a related field is preferred but not required.
Please submit your resume and a cover letter explaining why you would be a great fit for this role.
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