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 Senior Big Data Engineer. Scroll down to learn more about the position’s responsibilities and requirements.
Work closely with data analysts and development stakeholders to transform data operations;
Design, document, and implement data lake and data stream processing;
Support the testing, deployment, and support of data processes;
Understand when to use data streams vs data lakes;
Design and implement support tools for data processes;
Benchmark systems, analyze bottlenecks and propose solutions to eliminate them;
Articulate and align fellow team members to data process designs.
Experience architecting and deploying highly scalable distributed systems;
Experience using Spark, Storm, Kafka, Hadoop/MapReduce, SQL and other data processing tools and languages;
Experience building high-performance algorithms in scalable languages such as Scala and Java;
Familiarity with Big Data patterns of analysis such as machine learning, map reduce and complex event processing;
Experience working on Linux systems;
Software engineering experience (design, coding, testing, deployment and support);
Experience using standard SDLC tools like Jira, Git, Jenkins, etc.
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