Data Analyst & Validation Engineer -Redshift, Lake & QA

About this kind of role

What a Data Analyst & Validation Engineer -Redshift, Lake & QA usually does. The employer's own details are in the listing.

Typically does: Data Analysts and Validation Engineers examine data to identify trends, inconsistencies, and errors. They develop and implement data validation processes to ensure data quality and accuracy. This role often involves writing queries, creating reports, and collaborating with other teams to resolve data-related issues. They may also be involved in designing and maintaining data pipelines.

Tools and skills: Proficiency in SQL, data warehousing concepts, data validation methodologies, and experience with cloud platforms like Amazon Web Services (AWS) are generally required.

Good fit for: Individuals with strong analytical skills, attention to detail, and a passion for ensuring data integrity often thrive in this role.