Google Cloud Platform Professional Data Engineer

Lviv, Ukraine

EPAM Systems, Inc. is looking for Professional Data Engineer for Google Cloud Platform Solution Practice team. As a Data Engineer, you become responsible for the design and development of next-generation data processing systems and supervising their implementation across different clients and engineering teams, ensuring that the industry best practices incorporated.


  • Architecture design of holistic Cloud ecosystem with a focus on Google Cloud Platform capabilities and features;
  • Architecture design of Production, Staging/QA, and Development infrastructures running is 24/7 environments;
  • Robust and consistent Cloud Strategy design aligned with business objectives;
  • Provide guidelines for data migration approaches and techniques including ingest, store, process, analyze and explore/visualize data;
  • Assistance with data migration and transformation;
  • Evangelize Cloud computing expertise internally and externally to drive Cloud Adoption;
  • The candidate becomes a valuable member of EPAM's Google Cloud Platform Solution Practice in North America, providing Cloud expertise within the team.


  • Google Cloud Certified Professional Data Engineer;
  • In-depth experience with databases and tools analysis;
  • In-depth experience with ETL tools;
  • Processes design and development for the data modeling, mining, and analysis;
  • Extensive experience in methodologies and processes for large-scale databases management on-premises and cloud environment;
  • In-depth understanding and knowledge of distributed version control systems like Git;
  • Strong understanding of concepts and experience with StackDriver and other cloud-based monitoring tools including application level and logging;
  • In-depth cloud professional, competent of quickly establishing connections and credibility in how to address the business needs via design and operate cloud-based solutions;
  • Strong written, verbal and mock-up skills;
  • Experience in Agile or PMI methodology managed projects is appreciated;
  • Experience in enterprise applications, and big data solutions;
  • Experience in platform and cloud migrations, including migration factory;
  • Work experience with geographically distributed teams and off-shore models.

Nice to have

  • Creation of automated tooling for cloud platforms;
  • Experience with architecting and handling large datasets, structured and semi-structured data formats;
  • Experience with streaming processing;
  • Experience with messaging platforms;
  • Experience with performance testing and tuning;
  • Experience with GCP based security hardening including IAM, ACL, firewall rules, data traffic encryption.

We offer

  • Competitive compensation depending on experience and skills;
  • Individual career path in engineering;
  • Social package - medical insurance, sports;
  • Compensation for sick lists and regular vacations;
  • English classes with native speakers (certified English teachers);
  • Flexible work hours.