As a Data Quality Engineer, you will be responsible for hands-on data testing, validation of data extracts, and BI report testing. Your expertise in SQL will be essential for navigating and manipulating complex datasets. You will play a critical role in conducting various forms of testing, including regression, smoke, and production, and subsequently analyzing results to generate comprehensive post-release reports.
Company Profile:
From leading innovation design sprints to designing prototypes, delivering MVPs & launching solutions, they help companies gain traction by moving them rapidly from ideation to implementation.
Due to their continued success, they are looking to expand their team in the Philippines and seeking a passionate, skillful, self-motivated, and collaborative Data Quality Engineer to join their dynamic team.
This career opportunity is perfect for those who aim to join a team committed to fostering strong relationships, high accountability, and collaborative teamwork.
Duties and Responsibilities:
- Hands on data testing
- Validation of data extracts and should be able to write complex SQL
- Hands on BI report testing
- Conduct regression, smoke and production testing and analyzing the results to create post release report
- Analyzing and synthesizing requirements to create test plan, scope and test cases
- Analyzing post-production quality and provide metrics for the same
- Manage resource and project allocation and work with stakeholders in project prioritization
Requirements
- Minimum of 3 years’ experience in data testing
- Proven ability to work with large and complex datasets
- Advanced proficiency in Excel
- Strong problem identification and solving skills.
- Exceptional SQL skills
- Ability to thrive in a collaborative, multidisciplinary team environment
- Excellent communication skills, both written and verbal, with the ability to build trust and respect among peers and stakeholders
- Ability to manage multiple priorities and deliver results in a fast-paced, dynamic environment
dvantageous skills or nice-to-haves:
- Bachelor’s Degree in Information Technology, Science, Engineering or related
- Proven experience operating within the AWS cloud environment
- Experience with Python (NumPy and Pandas)
- Experience with BI report testing