Job Description :
Job Title: Big Data Architect (53831)
Career Level: Manager/ Specialist
Duration: 3-6 months, could go perm
Start Date: ASAP
Location: Client site, Bethesda Maryland
Remote work allowed (y / n): No

Must Haves:
Mandatory Hands on experience with either SPARK or Elastic Search
Experience with architecture and developing enterprise applications that deal with data processing
Should be able to set up the tech stack locally, think through the solution options specifically from a faster data processing standpoint, and guide a set of developers on low level design
Should be able to work with disparate enterprise teams to gauge requirements and convert them into scalable application design
Work with the offshore team creating design elements, guiding them on the application design based on requirements, and reviewing their deliverables
Experience with the following technologies:
Spark
Elastic Search
KAFKA
Couchbase

Description
This is a data engineer within our North America team. The data engineer will collaborate within a team of technologists to produce enterprise scale solutions for our clients’ needs. They will utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design decisions to insure the necessary health of the overall solution.

Primary Responsibilities:
Your role is focused on Design, Development and delivery of solutions involving:
Data Integration, Governance & Wrangling
Data Storage and Computation Frameworks, Performance Optimizations
Analytics & Visualizations
Infrastructure & Cloud Computing
Data Management Platforms

Experience Guidelines:
More than 5+ years of experience of application development using Java/Scala
More than 3+ years of experience in Big Data application development
Hands-on experience with the Hadoop stack (Hadoop MR, Hdfs, Pig, Hive, Sqoop)
Experienced in computation frameworks like Spark, Storm, Flink using Java/Scala
Well versed with streaming data processing using Kafka, Spark Streaming, Storm etc.
Experience in working on Big Data application in cloud environment using either AWS, Azure or Google cloud platform
Excellent knowledge of NoSQL platforms like Hbase, MongoDb, Cassandra etc.
Good knowledge of database technology with hands on experience on databases such as Oracle, SQL Server etc
Self-starter, with a keen interest in technology and highly motivated towards success
Excellent oral and written communication, presentation, and analytical skills