Senior Data QA Engineer
Senior Data QA Engineer
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Job Description
NiX is seeking for a Senior Data QA Engineer
Our customer is the leading school transportation provider in North America being the owner of more than a half of all yellow school buses in the United States. Every day the company completes 5 million student journeys moving more passengers than all U.S. airlines combined and delivers reliable quality services for 1100 school districts.
NiX has built a successful cooperation with the client delivering a range of complex initiatives. As a result NiX has been selected as a strategic longterm partner to drive the digital transformation on an enterprise level fully remodeling the technology landscape for 55000 employees and millions of people across North America.
Responsibilities:
- Create and Improve Test Plans: Develop and improve test plans for datarelated functionalities.
- Test Automation Setup: Prepare the basis for test automation setup.
- Establish Data Quality Standards: Enforce and improve data quality standards across datasets.
- Support Team Members: Provide recommendations and support to QA team members.
- Improve Testing Processes: Contribute to process improvements within the testing team.
- Collaboration with Teams: Work closely with data engineers data scientists business analysts and stakeholders to integrate and validate data within data warehousing solutions like Snowflake Redshift or BigQuery.
- Communicate Findings: Report issues and resolutions to both technical and nontechnical stakeholders.
- Design and Document Test Cases: Design and document test cases for data validation ETL processes and data workflows.
- Data Validation & Integrity Checks: Ensure accuracy consistency and completeness of data.
- Analyze Data Profiles: Analyze data structures patterns and anomalies for effective quality assessment.
- Various Types of Testing: Perform functional regression integration and performance testing on data pipelines and transformations.
- Root Cause Analysis: Investigate and resolve datarelated issues through root cause analysis.
- Stay Updated: Keep up with trends tools and best practices in data QA.
Requirements:
- 4 years of experience in data analysis quality assurance or data automation.
- Test Plan Development: Experience creating and executing test plans cases and scripts for data quality assurance.
- Data Quality Frameworks: Knowledge of frameworks profiling validation and cleansing techniques.
- Data Warehousing & ETL/ELT: Experience with Snowflake Redshift BigQuery and data modeling.
- Proficiency in SQL: Experience with relational databases like SQL MySQL PostgreSQL.
- Documentation: Ability to create detailed documentation of data quality processes and standards.
- Analytical Skills: Strong analytical and problemsolving skills with attention to detail.
- Intermediate English Proficiency.
- Ukrainian language Advanced.
Nice to Have:
- Proficiency in Data Analysis Tools: Knowledge of SQL Python R or similar languages for data querying and manipulation.
- Database & Kafka Knowledge: Familiarity with databases and Kafka.
- Version Control & CI/CD: Familiarity with Git and CI/CD pipelines.
- Automation Experience: Experience with automation tools and methodologies.
We offer*:
- Flexible working format remote officebased or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other locationspecific benefits
*not applicable for freelancers
Required Experience:
Senior IC
Employment Type
Full Time
