Senior DATA QA Engineer

N-iX is actively looking for a Senior DATA QA Engineer to join our team!

Our Customer - is one of the biggest financial institutions in Ukraine. AWS migration.

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 team members and provide them with recommendations.

- Work closely with data engineers 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, data governance, 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

- Familiarity with data governance principles and best practices.

- 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.

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 training, 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