November 5
• Ensure data accuracy, completeness, and consistency. • Perform automated and manual testing of data sets. • Identify and resolve data quality issues. • Establish data quality standards and metrics. • Monitor data quality using tools and manual checks. • Investigate and resolve data quality root causes. • Develop processes for data quality checks. • Train stakeholders on data quality best practices. • Provide technical directions and mentor data engineers.
• Bachelor in Computer Science or Information Systems or 2+ years’ experience with corporate data management systems in high-compliance contexts. • 2+ years of experience writing complex SQL on large customer data sets (complex queries). • High proficiency in relational or non-relational databases. • Knowledgeable about industry data compliance strategies and practices, such as continuous integration, regression testing, and versioning. • Familiarity with Big Data environments, dealing with large diverse data sets. • Experience with BI projects. • Strong scripting experience with any of the scripting languages. • Excellent communication skills, with the ability to drive & collaborate with cross teams. • Python experience (for data analysis - Airflow).
• 22 days of annual leave. • 10 days of public/national holidays. • Maternity and paternity leave. • Health insurance options. • Access to online learning platforms. • On-site English classes in some countries, and many more.
Apply NowNovember 4
10,000+
Analyze clinical trial data for Thermo Fisher Scientific to ensure data integrity.