Big Data Engineer

Select Minds

  • Lansing, Michigan
  • 25 days ago
  • $110,000–$125,000 Per Year

Highlights

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.* Big Data EngineerLocation: Chicago, IL (Day 1 Onsite) HybridJob Type: Contract / Full TimeExperience: 8+ yrsDuration: Long Term We are seeking an experienced Big Data Engineer to design, develop, and optimize enterprise-scale big data solutions.

Numbers & Facts

LocationLansing, Michigan
Salary$110,000–$125,000 Per Year

Description

Benefits:
  • ONSITE
  • Competitive salary
  • Opportunity for advancement
Big Data EngineerLocation: Chicago, IL (Day 1 Onsite) HybridJob Type: Contract / Full TimeExperience: 8+ yrsDuration: Long TermWe 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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