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 positions responsibilities and requirements.
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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 employees 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
30 days December bonus
Employee Stock Purchase Plan
12 vacations days plus 3 floating days
Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more
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 EPAMs Privacy Notice (https://www.epam.com/applicant-privacy-notice) and Policy (https://www.epam.com/privacy-policy)
Recuerda que ningún reclutador puede pedirte dinero a cambio de una entrevista o un puesto. Asimismo, evita realizar pagos o compartir información financiera con las empresas.