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.
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);
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