Senior Big Data Engineers with Java

Dice is the leading career destination for tech experts at every stage of their careers. Our client, EpathUSA, is seeking the following. Apply via Dice today! REQUIREMENT Position: Senior Big Data Engineers with Java Location: 499 Park Avenue, New York City, New York - 10022 Work type: Onsite Duration: 1 year - renewable contracts Mode of Interview: Virtual Type: Contract Client: Industry: Financial Services USC W2/C2C REQUIRED SKILLS: • Seeking Senior Big Data Engineers who will be responsible for helping, supporting, maintaining, and testing the New Database for specific business units. Additionally, consultants will be responsible for: • Maintaining complex Databases for the Business Technology Group • Work with minimal supervision and guidance from more seasoned consultants • Provide application and Database support • Recent experience working for major bank or brokerage house in the US. ( • • • Must be a total of 6 years within the last 10 years) • Experience maintaining applications utilizing Java, J2EE, SDLC, and Websphere • Experience working with CASSANDRA, Hadoop, MongoDB, Apache Spark, HDFS, YARN, MapReduce, PID&HIVE, Flume & Scoop, and Zookeeper. • Experience maintaining Tier-1 data driven apps • Experience with 24/7 uptime and strict SLA • Extensive experience maintaining data pipelines, aggregate & transform raw data coming from a variety of data sources. • Extensive experience optimizing data delivery and helping redesign to improve performance, handling, transformation, and managing BigData using BigData Frameworks. • Extensive experience maintaining processed data parallel on top of distributed Hadoop storage using MapReduce. • Experience with SOA -Design principles. • Experience programming in Scala, Java, Python or GO • Experience developing on Hadoop/Spark. • Experience developing on an RDBMS such as Microsoft SQL Server, and PostgreSQL. • Experience with large data sets regularly transforming and querying tables or sets of greater than 20 million records • Exposure to data hygiene routines and models • Experience in database maintenance. • Ability to identify problems, and effectively communicate solutions to team.