Return To Job Search

Senior Big Data Engineer
JN -072018-7985

Job Description
ARC is looking for a Senior Big Data Engineer to work on a major implementation we are currently engaged on in Jacksonville, FL. This is a long term (6-12 months) position.  Preference would be to be onsite in Jacksonville, but remote work with periodic site visits will be considered.
Responsibilities include:

  • Design and code data pipeline features and data processing jobs that encompass innovative business analytics
  • Ensure smooth ongoing operations of data platform with high availability while making continuous improvements
  • Help engineering teams across the organization to understand and consume the data sets and platform for improved decision-making and analytics
  • Advance the data architecture and platform and ensure alignment to architectural tenets
  • Design, implement and maintain data models including partitioning and bucketing strategies
  • Collaborate with the Data Science team in order to refine and implement algorithms aligned with business strategy
  • Participate in the design and development of services, architecture, and performance standards
  • Devise partitioning and bucketing strategies
BS in Computer Science, Mathematics, or equivalent degree with a combined 7+ years of software development and demonstrated experience working with large data sets.
The ideal candidate will also have:
  • Hands-on coding experience in programming languages such as Java, Python, Scala
  • Experience designing and delivering large scale, 24-7, mission-critical data pipelines and features using modern big data architectures
  • Stream processing services such as Kafka, AWS Kinesis, Apache Storm, Spark Streaming.
  • Experience in any big data technologies - Hadoop, EMR, Amazon Redshift, AWS DynamoDB, or advanced analytics tools will be plus
  • Demonstrated experience working in large-scale data environments which included real-time and batch processing requirements
  • Strong understanding of ETL processing with large data stores
  • Strong data modeling skills (relational, dimensional and flattened)
  • Strong analytical and SQL skills, with attention to detail

© ARC Group. All Rights Reserved.