Big Data Engineer

Select Minds

  • Lansing, Michigan
  • 6 days ago

    Highlights

    The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive, Apache NiFi, and Kafka, along with experience building scalable data pipelines and supporting modern CI/CD practices. Candidates should have worked directly with clients, participated in requirement gathering sessions, and delivered end-to-end Big Data implementations.

    Numbers & Facts

    LocationLansing, Michigan
    Websitewww.selectmindsllc.com

    Description

    Benefits:
    • ONSITE
    • Competitive salary
    • Opportunity for advancement
    Big Data Engineer
    Location: Chicago, IL (Day 1 Onsite) Hybrid
    Job Type: Contract / Full Time
    Experience: 8+ yrs
    Duration: Long Term


    We are seeking an experienced Big Data Engineer  to design, develop, and optimize enterprise-scale big data solutions. The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive, Apache NiFi, and Kafka, along with experience building scalable data pipelines and supporting modern CI/CD practices. Candidates should have worked directly with clients, participated in requirement gathering sessions, and delivered end-to-end Big Data implementations. 

    Key Responsibilities
    * Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive.
    * Build and maintain data ingestion workflows using Apache NiFi.
    * Develop and support real-time data streaming solutions using Apache Kafka.
    * Monitor application logs and system health using Kibana, Elasticsearch, and Logstash.
    * Implement and support CI/CD pipelines using Git, Jenkins, and Nexus.
    * Ensure data quality, integrity, and governance across Big Data platforms.
    * Participate in architecture discussions and recommend scalable design solutions.
    * Troubleshoot and resolve complex production issues across the Big Data stack.
    * Collaborate with cross-functional teams in an Agile environment.
    * Mentor junior engineers and contribute to technical best practices.

    Required Qualifications
    * 8+ years of experience in Big Data technologies.
    * Strong hands-on experience with Spark, Scala, Hive (HQL), and the Hadoop ecosystem.
    * Experience implementing Apache NiFi and Apache Kafka.
    * Proficiency in Shell Scripting or Python.
    * Experience with PostgreSQL.
    * Familiarity with scheduling tools such as Oozie and Control-M.
    * Working knowledge of Git, Jenkins, Nexus, Maven, Ansible, and SonarQube.
    * Strong understanding of CI/CD practices.
    * Experience in client-facing roles, including requirement gathering workshops.
    * Minimum of two end-to-end Big Data implementation projects.
    * Ability to work independently and contribute effectively within Agile teams.  

    Flexible work from home options available.

    Compensation: $110,000.00 - $125,000.00 per year




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