Cloud Data Engineer (GCP)

TL;DR

Cloud Data Engineer (GCP/Python): Development and operation of cloud-based client services with an accent on DataOps and scalable data pipelines. Focus on designing and implementing data products and KPIs using BigQuery, Terraform, and Google Cloud services.

Location: Fully Remote (Poland / Warsaw)

Company

hirify.global is a global technology services provider with over 6,000 specialists offering a full spectrum of software development, tech advisory, and enterprise solutions.

What you will do

• Develop and operate cloud-based services within the GCP ecosystem.
• Manage the entire DataOps lifecycle, accompanying requirements from initial idea to end-of-life.
• Contribute to the design, development, testing, and documentation of technical solutions.
• Conduct analysis and research to resolve complex business problems.
• Collaborate with cross-functional agile teams to build best-in-class data products and KPIs.

Requirements

• Professional experience as a Data Engineer or in a similar role.
• Proficiency in Python, including Poetry, Pydantic, and Google Python APIs.
• Solid knowledge of Google Cloud Services (BigQuery, Cloud Build, Cloud Storage, Pub/Sub, Cloud Composer, DataFlow, dbt) and Terraform.
• Experience working with mass data and a high level of quality awareness.
• Ability to work independently within an agile cross-functional team.

Nice to have

• Experience with PySpark, SQL, Airflow, Jenkins, OpenShift, Git, Docker, Kubernetes, Java, or Kafka.

Culture & Benefits

• Private medical care and private insurance.
• Cafeteria benefits program.
• Inclusive work environment with equal opportunities for career development.
• Flexible remote work culture.

Hiring process

• Application review.
• Talent Acquisition interview to discuss goals and fit.
• Technical interview focusing on expertise and problem-solving.
• Customer interview (for specific roles) to ensure alignment.
• Job offer.