11 дней назад
GCP Data Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GCP Data Engineer (GCP/Data): Building and maintaining Lakehouse Gold and Platinum layers and reliable cloud data pipelines with an accent on dbt, PySpark, Airflow, BigQuery, and data governance. Focus on optimizing query performance and costs, implementing infrastructure and CI/CD with Terraform and GitHub Actions, and strengthening IAM, DLP, and metadata management.
Location: Poland; work from the European Union region with a work permit required
Company
is a global AI-first digital transformation and engineering partner delivering scalable products, platforms, data-driven solutions, and cloud services across 16 countries.
What you will do
- Develop and maintain Lakehouse Gold and Platinum layers.
- Build and optimize data transformation workflows with dbt and PySpark.
- Design, schedule, and monitor data pipelines using Apache Airflow.
- Improve BigQuery performance and support FinOps cost-optimization initiatives.
- Manage infrastructure as code with Terraform and implement CI/CD processes using GitHub Actions.
- Support cloud security and data governance with IAM, DLP, Dataplex, metadata management, and data lineage practices.
Requirements
- Hands-on experience with dbt, Apache Airflow, Python, PySpark, and BigQuery.
- Experience designing data lakehouse solutions and understanding medallion architecture.
- Experience with BigQuery performance and cost optimization.
- Experience with Terraform, GitHub Actions, and CI/CD implementation.
- Understanding of IAM, RBAC/ABAC, policy tagging, DLP, data governance, metadata management, and data lineage.
- Work from the European Union region and a valid work permit are required.
Nice to have
- Experience with enterprise-scale data platforms.
- Experience in regulated environments such as financial services.
- Knowledge of cloud data governance best practices.
- Experience with modern Lakehouse architectures.
Culture & Benefits
- Work in a team of nearly 1,000 experts across the CEE region.
- Collaborate with cross-functional stakeholders and engineering teams.
- Participate in code reviews and establish engineering standards.
- Work with modern AWS, Azure, GCP, Databricks, and Snowflake technologies.
- Operate in an engineering-focused environment with continuous knowledge sharing and professional growth.
Hiring process
- CV review.
- HR call followed by an interview.
- Client interview and final decision.
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