Position: Big Data Engineer
Company: EPAM
Experience required: 2y
English level: intermediate

DESCRIPTION
As a Big Data Engineer (Scala), you will live on the front lines of the products we create, and build features used by millions of people every day.

Our customer is one of the biggest multi-brand online retailers in the UK. It's our long-playing customer and now they aim to enhance the use of its existing data by improving its storage capabilities and accessibility. The goal of the project is to build a system from the scratch based on Data Lake architecture with Query Layer which provides the ability for multiple data consumer systems to query data from the lake. Additional challenge in Query Layer design is to make it auto-scalable to handle peaks in demand with high uptime percentage as for HA characteristic.

PROJECT TECHNOLOGIES AND TOOLS
AWS Services - EMR, S3, Lambda, EC2, RDS, CloudFormation, etc
Hortonworks Data Platform (HDP)
Hive
Spark, Spark Streaming
Yarn
Apache Knox
Kafka
Scala as programming language

REQUIREMENTS
2+ years of experience with Big Data stack: Spark, Hive, HDFS
Basic Scala knowledge
Experience with AWS Cloud services
Knowledge of Linux will be a plus
Knowledge of scripting will be a plus
Excellent communication skills, team player
Good spoken and written English