Data Engineer (Google Cloud Platform)

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We are looking for a Data Engineer with solid experience in Google Cloud Platform to strengthen our technical team and support projects for international clients.

Requirements:

• 3+ years of professional experience in Data Engineering.
• Hands-on expertise with Google Cloud services such as:
• BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), Cloud Storage, Cloud Functions, IAM.
• Strong SQL knowledge, including optimization of complex queries.
• Proficiency in Python for data processing and pipeline development.
• Solid understanding of data warehouse, data lake, and data mesh architectures.
• Experience building ETL/ELT pipelines and automating workflows in GCP.
• CI/CD (GitLab CI or Cloud Build) and basic Terraform (GCP).
• Familiarity with integrating data from APIs, relational databases, NoSQL systems, and SaaS platforms.
• English proficiency at Upper-Intermediate (B2) or higher.

Responsibilities:

• Design and build modern data platforms for enterprise clients.
• Develop, optimize, and maintain ETL/ELT processes in GCP.
• Migrate data from on-premises or other cloud platforms into GCP.
• Work with both structured and unstructured datasets at scale.
• Ensure performance optimization and cost-efficiency of pipelines.
• Engage with clients to gather requirements, run workshops, and deliver technical presentations.
• Collaborate with architects, DevOps, and ML engineers to deliver end-to-end cloud solutions.
• Document solutions and produce technical documentation for internal and client use.

Would be a plus:

• Experience with Vertex AI or Apigee.
• Datastream (CDC), BigQuery DTS, Looker / Looker Studio.
• Dataplex, Data Catalog, policy tags, basic DLP concepts.
• Google Cloud certifications (Data Engineer, Architect, Digital Leader).
• Background in building high-load solutions and optimizing GCP costs.

Work conditions:

• Competitive Salary: Receive a competitive base salary with employment or contractor arrangement depending on location.
• Flexible Work Format: Work remotely with flexible hours with core hours aligned to EET, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry. Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
• Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes.