Ranked as #12 on Forbes’ List of 25 Fastest Growing Public Tech Companies for 2017, EPAM is committed to providing our global team of over 24,000 people 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.
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.
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.
2+ years of experience being involved in projects where big amounts of data processing are imperative;
Experience working with at least one Big Data technology (Hadoop, MapReduce, HDFS);
Knowledge of NoSQL databases and big data querying tools like Pig, Hive, Impala;
Good understanding of 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.
Nice to have
Experience working with Google Cloud Dataproc, Google Cloud Datalab or similar;
Good understanding of Cloud Computing;
Experience in the popular technologies in the machine learning/big data ecosystem;
Experience in technical support: familiarity with case prioritization, SLA compliance, and quality;
Experience using script languages (Python, R, Scala).
Career plan and real growth opportunities;
International Mobility Plan within 25 countries;
Constant training, mentoring, online corporate courses, eLearning and more;
English classes with 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, 15 days December bonus, 25% vacation bonus);
Personal insurance: Life, Major medical expenses with dental & visual coverage;
13 % employee savings fund;
Grocery coupons (added to the monthly benefits once the probation period has been passed);
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.
Bei EPAM setzen wir Cookies und ähnliche Technologien ein, um die Inhalte unserer Webseite auf Ihre Bedürfnisse abzustimmen und Ihnen einen optimierten Besuch zu ermöglichen. Wenn Sie unsere Webseite weiter nutzen, ohne Ihre Cookie-Einstellungen zu ändern, stimmen Sie der Verwendung von Cookies zu.