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 Lead 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.
5+ years’ experience as a Developer or a combination Developer + Big Data Engineer;
Ability to read and understand code, able to write code to reproduce customer problems;
Strong research, analytical and problem solving skills required to work with petabyte or even exabytes of data;
Familiarity with web protocols (HTTP, TLS/SSL etc);
Firm understanding of programming (Java, C++, C#, Scala, Python, etc.) and scripting languages (Python/PHP/R);
Background in SQL;
Experience in Big Data Architecture and Technologies (more than 1TB of data) and BI solutions;
Experience in client-driven large-scale implementation projects;
Experience in distributed computing frameworks (e.g. Hadoop, Spark, Flink, Storm, Samza, Beam, Google Big Query, etc.);
Experience in major big data technologies and frameworks including but not limited to Hadoop, MapReduce, HDFS, AWS S3, HBase, Apache Storm, Apache Flink, Elasticsearch, Kibana, Kafka, AWS EMR, and Spark, DB, etc.; and/or distributed message brokers (Kafka, RabbitMQ, ActiveMQ, Google Pub/Sub, Amazon Kinesis, etc.);
Practical expertise in performance tuning and optimization, bottleneck problems analysis;
Upper-Intermediate/Advanced English level (B2/C1).
Nice to have
Experience in technical support: familiarity with case prioritization, SLA compliance, and quality;
Experience in the popular technologies in the machine learning/big data ecosystem;
Experience in any ML library (Scikit-Learn, PyTorch, TensorFlow, Spark MLlib) or basic understanding of ML concepts;
Experience in PaaS and IaaS technologies;
Java or Objective C;
Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization).
Career plan and real growth opportunities in the company;
Hired directly by EPAM;
100% under payroll;
Law benefits (IMSS, INFONAVIT, 15 days December, bonus, 25% vacation bonus, Mexican holidays plus December the 24th and 31st);
Major medical expenses insurance;
13 % employee savings fund;
Vacations starting with 10 days plus 2 floating days;
30 days leave for the following purposes: maternity leave/adoption;
5 days for regular paternity leave or adoption;
Constant training and certifications;
Flexible work schedule;
Relaxed dress code;
Mobility plan with our other sites (25 countries);
Relocation plan within México;
Grocery coupons. Added to the monthly benefits once the probation period has been passed successfully.