Data Engineer II

Published
March 18, 2021
Location
Jacksonville, FL
Category
Job Type

Description

The Data Engineer aims to provide data in a ready-to-use form to enable a diverse set of business processes. Responsible for design, build, maintenance, and production support of data processing pipelines and systems. The Data Engineer will work closely with Data Analysts, Data Scientists, business and technical teams to deliver outcomes that are secure, reliable, fault-tolerant, scalable, quality and efficient. Applying analytics (e.g., machine learning) and statistical models, as needed. The Data Engineer can also provide data analysis and extracts on large and complex data sets.

KEY RESPONSIBILITIES

  • Design, build, quality, maintenance, and production support of data processing pipelines and systems (Real-time and batch)
  • Design, build, quality, maintenance, and production support of RESTful APIs
  • Responsible for ensuring data processing pipelines and systems are: secure, reliable, fault-tolerant, scalable, accurate and efficient
  • Perform data analysis and provide extracts on large and complex data sets
  • Data Wrangling
  • Deliver automated functional tests on data processing pipelines and systems
  • Full participation in the assigned Agile team (e.g., standups, planning, peer reviews, etc.)
  • Provide on-call support (24x7); may be rotational
  • Collaborate within and outside assigned Agile team
  • Continuously seek opportunities to improve skillsets
  • Proactively identify and communicate roadblocks. Evaluate and suggest alternatives
  • Support multiple projects and accommodate frequent interruptions and changing priorities

EDUCATION AND EXPERIENCE

  • Bachelors degree in Information Systems or Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data)
  • 2+ years of work experience in a Data Engineer, ETL Developer or similar role

SKILLS AND KNOWLEDGE

  • Must have experience in a big data environment (such as: Hadoop, Spark, Impala, Solr, HBase, Kudu)
  • Must have experience designing, building and operating in-production big data/stream processing and/or enterprise data warehouse
  • Must have experience with large scale, concurrent applications
  • Must have experience with at least one compiled language (Java)
  • Must have experience building backend RESTful web services
  • Must have experience with SQL and relational database systems (e.g., Oracle, SQL Server)
  • Must have experience with Linux
  • Familiarity with DevOps and Microservices architecture concepts and tools
  • Familiarity with common data science toolkits, such as R and Python
  • Strong problem-solving capabilities and exhibits strong Computer Science Fundamentals
  • Experience working with Agile and Lean Practices
  • Excellent communication skills
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