Lviv
Google Cloud Platform Professional Data Engineer
EPAM 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.

Responsibilities
  • 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
Requirements
  • 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
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