About the project:
Our customer is the leading school transportation provider in North America, being the owner of more than 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 1,100 school districts.
N-iX has built a successful cooperation with the client delivering a range of complex initiatives. As a result, N-iX has been selected as a strategic long-term partner to drive digital transformation on an enterprise level, fully remodeling the technology landscape for 55,000 employees and millions of people across North America.
Responsibilities:
- Create and improve test plans outlining test objectives, testing scope, methodologies, and timelines specific to data-related functionalities, pipelines, or systems.
- Prepare basis for test automation setup
- Establish, enforce, and improve data quality standards and guidelines to ensure compliance and consistency across datasets.
- Support other QA team members and provide them with recommendations
- Work on improvements to test processes in the team
- Work closely with data engineers, data scientists, business analysts, and stakeholders to understand project requirements, data specifications, and expectations.
- Proactively communicate findings, issues, and resolutions to technical and non-technical stakeholders, ensuring clarity and understanding.
- Design and document test cases and test scenarios tailored for data validation, ETL processes, data migration, and other data-related workflows.
- Verify the accuracy, consistency, and completeness of data by performing data validation and integrity checks. Identify and rectify discrepancies or anomalies.
- Analyze data profiles to understand data structures, patterns, and anomalies for effective quality assessment.
- Perform various types of testing, including functional testing, regression testing, integration testing, and performance testing, on data pipelines, ETL workflows, and data transformations.
- Investigate and perform root cause analysis of data-related issues, collaborating with relevant teams to determine underlying causes and implement effective solutions.
- Stay updated with the latest trends, tools, and best practices in test automation and quality assurance.
Qualifications and Skills:
- 4+ years of Relevant work experience in data analysis, quality assurance, quality automation, or a similar field is highly desirable.
- Experience with automation approach. Experience automation tools.
- Knowledge of data quality frameworks, data profiling, data validation, and data cleansing techniques
- Experience in developing and executing test plans, test cases, and test scripts specific to data quality assurance.
- Understanding of database systems and ETL (Extract, Transform, Load) processes.
- Proficiency in working with relational databases (SQL, MySQL, PostgreSQL, etc.)
- Ability to create comprehensive documentation of data quality processes, standards, and issues.
- Strong analytical and problem-solving skills, with an attention to detail.
- At least an Intermediate strong level of English
Nice to have:
- Proficiency in data analysis tools like SQL, Python, R, or similar languages for querying and manipulating data.
- Nice to have DB, Kafka knowledge
- Familiarity with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.
- Nice to have Automation experience
We offer:
- Flexible working format - remote, office-based 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 location-specific benefits
Ukraine
