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Big Data Lead Engineer

Company: BayOne Solutions
Location: Chicago
Posted on: February 15, 2019

Job Description:

LOOKING FOR CANDIDATES LOCAL TO CHICAGO AREA ONLY Essential Functions:

  • Design and develop scalable data pipelines for optimal ingestion, transformation, storage and computation using latest big data technologies.
  • Work with engineering, product, and business team(s) to understand requirements, evaluate new features and architecture to help drive decisions.
  • Design, develop and maintain automated ETL processes for efficient batch records-matching of multiple large-scale datasets.
  • Translate complex business requirements into a scalable, efficient and high availability data platform. Strong ownership of the full backend stack - from design through to deploy and beyond.
  • Experience working with continuous integration (CI/CD) framework, building regression-able code within data world using GitHub, Jenkins, Cloud Build, Spinnaker and related applications.
  • Actively participate in code review and test solutions to ensure it meets best practice specifications. Prototype ideas quickly using cutting edge and new generation technologies.
  • Build collaborative partnerships with architects, technical leads and key individuals within other cross functional groups. Work with business teams/engineers to define instrumentation and data requirements.
  • Lead projects independently and also mentor team members and other engineers in the team.
  • Regular, dependable attendance & punctuality. Qualifications: Education/Experience:
    • Bachelor or Master's degree or equivalent in computer science or related field with minimum of 5+ years of directly related work experience.
    • Good understanding of data structures and algorithms.
    • Programming experience in Python, Java or Scala.
    • Extensive experience with Elastic stack, Kafka and Spark.
    • Experience with big data technologies like Hadoop, Map Reduce, Hive, Spark/Storm, Big Query.
    • Experience with time series and NoSQL databases is a plus.
    • Experience working with containers and kubernetes is good to have.
    • Experience designing, implementing and scaling big data solutions on public cloud.
    • Experience with Unix/ Linux and shell scripting.
    • Experience working with various data sources like unstructured data files, flat files, message queues, JSON based events, databases.
    • Experience driving architectural discussions and proposing solutions for system and product changes.
    • Experience writing high-performance, reliable and maintainable code.
    • Experience with large distributed services is a plus as is building/operating highly available systems - provided by Dice Big Data, Java, Kafka, Cassandra,AWS

      Keywords: BayOne Solutions, Chicago , Big Data Lead Engineer, Engineering , Chicago, Illinois

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