4 дня назад
Quality Assurance Engineer (BigQuery)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quality Assurance Engineer (BigQuery) (GCP Data Engineering): Designing and implementing multi-layered testing strategies for complex data engineering pipelines with an accent on integration, end-to-end, data quality, and database testing. Focus on automating validation across BigQuery, dbt, Dataflow, Dataproc, Cloud Run, and CI/CD environments while improving pipeline reliability and data quality at scale.
Location: Bengaluru or Pune, India
Company
is an AI transformation partner helping enterprises turn complex data and cloud challenges into measurable business outcomes.
What you will do
- Define and maintain testing methodologies across the Google Cloud data engineering stack.
- Design and execute integration, regression, end-to-end, and data quality tests for ETL and ELT pipelines.
- Validate databases, stored procedures, functions, APIs, containers, and HTTP-triggered services using representative test data.
- Orchestrate pipeline validation through Cloud Composer, Apache Airflow, and scripting.
- Embed automated testing and dbt validations into CI/CD pipelines and provision reproducible environments with infrastructure-as-code tools.
- Monitor pipeline health, mentor junior QA engineers, and improve data quality KPIs and test effectiveness.
Requirements
- 5+ years of QA or software testing experience, including data pipelines or data warehouses.
- Advanced SQL skills and experience writing data validation queries.
- Strong experience with GCP data technologies including BigQuery, dbt, Dataflow, Dataproc, Cloud Run, Spanner, AlloyDB, and Cloud SQL.
- Hands-on experience with Great Expectations, Soda Core, dbt-utils, or dbt-expectations.
- Experience with CI/CD automation using Jenkins, GitLab CI, or GitHub Actions, plus Python and pytest scripting.
- API testing experience with Postman and REST APIs, along with strong communication, mentoring, critical-thinking, and attention-to-detail skills.
Nice to have
- GCP Professional Data Engineer certification.
- Experience with Dataplex, Cloud Logging, Elementary Data, data governance, lineage, and compliance validation.
- Exposure to enterprise data migration projects and data warehouse modernization.
Culture & Benefits
- Culture focused on innovation, professional growth, and personal development.
- Collaboration with data engineers and business stakeholders.
- AI-assisted recruitment tools are used alongside human decision-making.
- Visa sponsorship or visa transfer is not available.
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