
Data QA Engineer
Dreamix • Sofia, Sofia-City, Bulgaria
Salary: 19 years ago by pa
Role & seniority: Data QA Engineer (mid–senior, strong manual testing focus)
Stack/tools: Data pipelines/ETL; AWS (S3, Glue, Lambda, Step Functions, Redshift, Athena, CloudWatch); SQL (complex queries for fact/dimension tables); Parquet/JSON/CSV data; QA tooling (Jira, TestRail or similar)
Top 3 responsibilities
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Validate end-to-end data pipelines, batch loads, transformations, and data quality across source → data mart → reporting layers
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Write and execute complex SQL to validate data integrity; reconcile raw, curated, and reporting data; validate KPIs against definitions
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Monitor pipeline health, log review (Glue/Lambda), report progress and risks; support release decisions with clear defect reporting
Must-have skills
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5+ years in software QA with strong manual testing focus; experience testing data pipelines/ETL/data warehouses
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Strong SQL (joins, aggregations); experience with AWS services (S3, Glue, Lambda, Step Functions, Redshift, Athena, CloudWatch)
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Knowledge of data warehousing concepts, dimensional modeling; testing structured and semi-structured data (Parquet, JSON, CSV)
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QA methodologies, SDLC, Agile/Scrum; excellent test design, defect management, reporting; Jira/TestRail or similar
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Familiarity with browser dev tools for debugging UI issues; proven ability to test complex web/mobile apps
Nice-to-haves
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Automation skills to write automated tests for pipelines (e.g., Python)
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Experience integrating automated tests into C
Full Description
Dreаmix was founded 19 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies.
We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development.
We are seeking an experienced Data QA Engineer with a strong manual testing background to take ownership of quality across our Data quality products. You will drive testing efforts, define test strategies, and act as a quality advocate across the engineering organisation. A key part of this role is providing clear, accurate, and timely reporting on test progress, quality risks, and defect status to support informed release decisions.
Responsibilities
Validate end-to-end data pipelines from source systems to data marts. Test batch data loads. Validate transformations, aggregations, and derived metrics. Ensure data completeness, accuracy, and consistency across layers. Understanding of data governance, privacy, and PII handling Write complex SQL queries to validate fact and dimension tables in Redshift. Validate data models (fact/dimension, keys, relationships) Perform reconciliation between raw, curated, and reporting layers. Validate business KPIs and metrics against source systems and definitions. Validate data ingestion in S3 (file counts, schema, partitions, formats) Review Glue job and Lambda execution logs to troubleshoot data issues. Monitor pipeline health, failures, and data refresh SLAs.
Requirements
Strong SQL skills (joins, aggregations) Hands-on experience testing data pipelines, ETL, or data warehouses
Experience with AWS services: S3, Glue, Lambda, Step Functions, Redshift, Athena, CloudWatch Experience validating structured and semi-structured data (Parquet, JSON, CSV) Solid understanding of data warehousing concepts and dimensional modelling 5+ years' experience in software quality assurance with a strong focus on manual testing Proven experience testing complex web and/or mobile applications Familiarity with browser developer tools for debugging network, console, and UI issues Strong understanding of QA methodologies, SDLC, and Agile/Scrum Excellent test design, defect management, and reporting skills Experience with Jira, TestRail, or similar tools
Nice to have
Automation skills to write automated tests for pipelines using a language like Python. Experience integrating automated tests into CI/CD pipelines (e.g. Azure DevOps)
What you'll get
A warm and supportive work environment where you can reach your full potential Flexible working hours that allow you to balance your work and personal life Unlimited home office to help you stay productive and focused Opportunities for professional development, including certifications and training Additional benefits for academic teaching and speaking engagements Knowledge-sharing sessions where you can learn from our Dreamix team Team and company-wide events that bring us together Amazing week long summer office and winter office initiatives Additional health insurance and dental allowance to ensure your well-being Multisport card to encourage a healthy and active lifestyle Office massages to help you relax and unwind
If you want to explore this journey, send us your CV!
Only shortlisted candidates will be contacted. The confidentiality of all applications is assured!
By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR. Show more Show less