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Big Data Support Engineer Guadalajara, Mexico

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Big Data Support Engineer Description

Job #: 65599
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and 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 Big Data Support Engineer. Scroll down to learn more about the position’s responsibilities and requirements.

Responsibilities

  • Provide support to customers using Cloud Platform products, solutions and APIs, including Big Data and related services
  • Provide technical assistance and support as part of a global 24x7-support organization
  • Work closely with engineers and product managers to improve the product and make our customers successful
  • Change requests and incident ticket handling for the remaining Infrastructure Teams - Incident Management, Problem Management and Change Management
  • Provide technical and developer support to customers using Cloud Platform products, solutions and APIs
  • Follow notification and escalation procedures
  • Follow standards for communications with business involving operational issues
  • Identify and document product bugs and feature requests and work with internal support teams as well as customers to implement effective solutions
  • Work closely with internal support teams to improve cloud products at a senior level

Requirements

  • 2+ years of experience involved with projects where big amounts of data processing are imperative
  • Experience working with at least one Big Data technology (Hadoop, MapReduce, HDFS…)
  • Knowledge on NoSQL databases and big data querying tools like Pig, Hive, Impala
  • Good understanding on distributed computing principles
  • Proficient in at least one programming language (Java, Python)
  • Experience troubleshooting and solving complex technical problems
  • Familiarity with web protocols (HTTP, TLS/SSL etc.)
  • Upper-Intermediate/Advanced English level (B2/C1)
  • Understanding of cloud environments

We offer

  • Career plan and real growth opportunities
  • Unlimited access to LinkedIn learning solutions
  • International Mobility Plan within 25 countries
  • Constant training, mentoring, online corporate courses, eLearning and more
  • English classes with a certified teacher
  • Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
  • Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more.)
  • Flexible work schedule and dress code
  • Collaborate in a multicultural environment and share best practices from around the globe
  • Hired directly by EPAM & 100% under payroll
  • Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
  • Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage. (For the employee and direct family members)
  • 13 % employee savings fund, capped to the law limit
  • Grocery coupons
  • 10 vacations days plus 2 floating days
  • Official Mexican holidays, plus two extra holidays (December 24th & 31st)
  • Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more
  • 30 days of salary End of Year bonus
  • Monthly non-taxable amount for the electricity and internet bills

Conditions

  • By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice (https://www.epam.com/applicant-privacy-notice) and Policy (https://www.epam.com/privacy-policy)

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