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Lead Data Engineer

Mountain View, CA, USA

Ranked as #12 on Forbes’ List of 25 Fastest Growing Public Tech Companies for 2017, EPAM is committed to providing our global team of 25,900+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

DESCRIPTION


You are curious, persistent, logical and clever a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Lead Data Enigneer. Scroll down to learn more about the position’s responsibilities and requirements.

What You’ll Do

  • Architecture design of holistic Cloud data 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.

What You Have

  • 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;
  • Experience in Agile or PMI methodology managed projects;
  • Experience in enterprise applications, and big data solutions;
  • Experience in platform and cloud migrations, including migration factory;
  • 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.

Nice to have

  • Google Cloud Certified Professional Data Engineer;
  • Experience Creating 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.

What We Offer

  • Medical, Dental and Vision Insurance (Subsidized);
  • Health Savings Account;
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter);
  • Short-Term and Long-Term Disability (Company Provided);
  • Life and AD&D Insurance (Company Provided);
  • Matched 401(k) Retirement Savings Plan;
  • Paid Time Off;
  • Legal Plan and Identity Theft Protection;
  • Accident Insurance;
  • Employee Discounts;
  • Pet Insurance.