4 дня назад
Senior QC Engineer (Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior QC Engineer (Data) (Data Quality and Cloud Platforms): Validating data solutions across migration, integration, and transformation projects with an accent on source-to-target reconciliation, ETL/ELT testing, and cloud data platforms. Focus on designing automated tests in Python, investigating data-quality anomalies, and verifying pipelines across Databricks, Snowflake, AWS, Azure, and GCP.
Location: Bulgaria or Poland; remote/office work
Company
delivers engineering and technology services across data and analytics projects.
What you will do
- Perform end-to-end validation for data migration, integration, and transformation initiatives.
- Reconcile source and target systems and validate ETL/ELT processes.
- Design and maintain manual and automated test cases using Python and QMetry or similar tools.
- Test data pipelines, workflows, and integrations across AWS, Azure, GCP, Databricks, and Snowflake.
- Monitor data quality, investigate anomalies, and track defects through resolution.
- Prepare test documentation, execution reports, and quality metrics while participating in Agile ceremonies.
Requirements
- 4+ years of software testing experience focused on data engineering, ETL/ELT, integration, or migration projects.
- Hands-on experience with SQL, data validation, source-to-target reconciliation, and large-scale data transformations.
- Experience testing cloud-based data platforms, Databricks, Snowflake, and layered Bronze, Silver, and Gold data architectures.
- Experience developing and executing test automation solutions with Python.
- Familiarity with QMetry or similar test management tools, BI and reporting solutions including Power BI, and defect tracking.
- Upper-Intermediate or higher English, strong analytical and communication skills, and experience working in Agile cross-functional teams.
Nice to have
- Familiarity with data quality and observability tools such as Monte Carlo.
Culture & Benefits
- Remote/office work format.
- Collaboration with data engineers, analysts, business stakeholders, and cross-functional Agile teams.
- Equal opportunity employment.
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