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Data Engineer

DATAMAXISDearborn, Michigan, United StatesOnsite
This job is no longer open

Rate: depending on experience
Work location: MI (hybrid)We are seeking a highly skilled and certified Data Engineer with expertise in Big Data technologies, Kafka, and Google Cloud Platform (GCP). The ideal candidate will have a strong background in designing, building, and maintaining scalable data pipelines, as well as experience with real-time data processing. You will be responsible for ensuring the reliability, efficiency, and scalability of our data infrastructure.

Key Responsibilities:


  • Design, develop, and maintain scalable data pipelines and ETL processes using Big Data technologies.
  • Implement and manage real-time data streaming solutions using Apache Kafka.
  • Architect and manage data storage solutions on Google Cloud Platform (GCP), ensuring high availability and reliability.
  • Collaborate with data scientists, analysts, and other engineering teams to integrate data solutions into various applications.
  • Optimize data systems and pipelines for performance, scalability, and cost-efficiency.
  • Ensure data quality and integrity across all data pipelines.
  • Monitor and troubleshoot data pipelines to ensure continuous and reliable data flow.
  • Document data engineering processes and maintain comprehensive records of all data infrastructure components.
  • Stay up to date with the latest trends and best practices in data engineering, Big Data, Kafka, and GCP.

Qualifications:


Certification:

Google Cloud Certified - Professional Data Engineer or equivalent certification.
Experience: 3+ years of experience in data engineering with a focus on Big Data technologies.

Technical Skills:


  • Proficiency in Apache Kafka for real-time data streaming.
  • Hands-on experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.
  • Strong knowledge of ETL processes and data pipeline orchestration tools.
  • Experience with distributed data processing frameworks like Apache Hadoop, Apache Spark, etc.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with SQL and NoSQL databases.

This job is no longer open

Life at DATAMAXIS

DATAMAXIS takes pride in delivering a wide range of business IT modernization, data analytics, and technology management services. With command of the cutting-edge developments in these fields, our team and consultants are ready to provide you a robust technology modernization experience that results in a big boost in performance capability and operational efficiency.
Thrive Here & What We Value1. Teamwork and collaboration2. Professional growth opportunities3. Hybrid work arrangements4. Career advancement within the company5. Dynamic team environment6. Knowledge sharing culture7. Agile processes8. Mentorship for junior developers9. Global team capabilities10. Customer-focused approach
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