Middle Manual QA (Big Data)

Lviv - Ukraine

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

N-iX is a global software development company founded in 2002 connecting over 2400 tech professionals across 40 countries. We deliver innovative technology solutions in cloud computing data analytics AI embedded softwareIoT and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

About the Client:

Our client is involved in a large-scale Data Transformation project with a focus on solidifying the foundation of their data operations. They are aiming to ensure that data is accurate consistent and available at critical times to support their business needs.

About the project:

The objective of this project is to enhance the QA processes through the implementation of automation within the Data landscape. This includes developing and maintaining regression testing suites and creating test scripts and automation plans to improve the overall efficiency and quality of data testing practices.

Responsibilities:

Design and execute data validation tests to ensure completeness in Azure Data Lake Storage (ADLS) Azure Synapse and Databricks.
Verify data ingestion transformation and loading (ETL/ELT) processes in Azure Data Factory (ADF).
Validate data schema constraints and format consistency across different storage layers
Conduct performance testing on data pipelines
Optimize query performance by working with data engineers
Identify log and track defects in JIRA.
Collaborate with Data Engineers and Business Analysts to resolve data inconsistencies.
Generate detailed test reports dashboards and documentation for stakeholders.

Requirements:

3 years of QA experience with a strong focus on Big Data testing particularly with hands-on experience in Data Lake environments on any cloud platform (preferably Azure).
Hands-on experience in Azure Data Factory Azure Synapse Analytics or similar services.
Experience with Databricks.
Proficiency in SQL capable of writing and optimizing both simple and complex queries for data validation and testing purposes.
Experienced in PySpark with experience in data manipulation and transformation and a demonstrated ability to write and execute test scripts for data processing and validation (ability to understand the code and convert the logic to SQL).
Hands-on experience with Functional & System Integration Testing in big data environments ensuring seamless data flow and accuracy across multiple systems.
Knowledge and ability to design and execute test cases in a behavior-driven development environment.
Fluency in Agile methodologies with active participation in Scrum ceremonies and a strong understanding of Agile principles.
Familiarity with tools like Jira including experience with X-Ray for defect management and test case management.
Proven experience working on high-traffic and large-scale software products ensuring data quality reliability and performance under demanding conditions.

Nice to Have:

Experience with Azure.
Familiarity with database administration and optimization techniques

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

*not applicable for freelancers