Big Data Engineer

Lansing, MI, US • Posted 2 days ago • Updated 20 minutes ago
Full Time
On-site
USD $110,000.00 - 125,000.00 per year
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Job Details

Skills

  • Data Processing
  • Workflow
  • Real-time
  • Streaming
  • Kibana
  • Elasticsearch
  • Data Quality
  • Collaboration
  • Mentorship
  • Apache Spark
  • Scala
  • Apache Hive
  • HQL
  • Apache Hadoop
  • Apache NiFi
  • Apache Kafka
  • Shell Scripting
  • Python
  • PostgreSQL
  • Scheduling
  • Apache Oozie
  • BMC Control-M
  • Git
  • Jenkins
  • Nexus
  • Apache Maven
  • Ansible
  • Continuous Integration
  • Continuous Delivery
  • Customer Facing
  • Requirements Elicitation
  • Big Data
  • Effective Communication
  • Agile

Summary

Benefits:
  • ONSITE
  • Competitive salary
  • Opportunity for advancement

Big Data Engineer
Location: Chicago, IL (Day 1 Onsite)
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.

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

About Us

We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.

Work Approach

Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.

Work Policy

We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.

The Future

SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1d4a85
  • Position Id: d0ed105d60033ac9c35dcb400e29234b
  • Posted 2 days ago
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