Senior Big Data Engineer

Pittsburgh, PA, USA

Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

DESCRIPTION


Currently we are looking for a Senior Big Data Engineer for our Pittsburgh, PA office to make the team even stronger.

EPAM’s Financial Services Practice is looking for exceptionally talented people to join our team of world class engineers. Our clients are some of the world’s largest and most innovative banks, investment banks and wealth management institutions.

We are seeking Big Data Engineers that will work on collecting, storing, processing, and analyzing of large sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

Requirements

  • Proficient understanding of distributed computing principles;
  • Management of Hadoop cluster (Cloudera preferred), with all included services;
  • Ability to solve any ongoing issues with operating the cluster;
  • Proficiency with Hadoop v2, MapReduce, HDFS, Sqoop;
  • Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming;
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala;
  • Experience with Spark;
  • Experience with integration of data from multiple data sources such as MSSQL Server, Oracle;
  • Good understanding of SQL queries, joins, stored procedures, relational schemas;
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB (preferred);
  • Knowledge of various ETL techniques and frameworks, such as Flume;
  • Experience with various messaging systems, such as Kafka or RabbitMQ;
  • Experience with Cloudera;
  • FS domain knowledge is a big plus but not required.

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