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Data Engineer

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: Madfish
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below
Location: Town of Poland

At Tech Biz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Engineer to join one of our clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Hybrid work: 2-3 days from office

Location:

Warsaw

Key Responsibilities
  • Design, develop, and maintain ETL/ELT pipelines using Apache Airflow and AWS Glue
    .
  • Build robust and scalable data architectures leveraging AWS services such as S3, Lambda, Cloud Watch, Kinesis, and Redshift
    .
  • Integrate real-time and batch data pipelines using Kafka and AWS streaming solutions.
  • Ensure data quality, reliability, and performance through effective monitoring, debugging, and optimization
    .
  • Collaborate with cross-functional teams to understand data requirements and deliver efficient solutions.
  • Manage version control and collaborative workflows using Git
    .
  • Implement infrastructure as code solutions with Terraform and Ansible to automate deployments.
  • Establish CI/CD pipelines to streamline testing, deployment, and versioning processes.
  • Document data models, workflows, and architecture to support transparency and scalability.
Key Requirements
  • Core

    Languages:

    Proficient in SQL, Python, and PySpark.
  • Framework Knowledge:
    Experience with Apache Airflow, AWS Glue, Kafka, and Redshift.
  • Cloud & Dev Ops:
    Strong hands‑on experience with the AWS stack (Lambda, S3, Cloud Watch, SNS/SQS, Kinesis).
  • Infrastructure Automation:
    Practical experience with Terraform and Ansible.
  • Version Control & CI/CD:
    Skilled in Git and familiar with continuous integration and delivery pipelines.
  • Debugging & Monitoring:
    Proven ability to maintain, monitor, and optimize ETL pipelines for performance and reliability.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering
    , or a related field.
  • 4+ years of hands‑on experience as a Data Engineer
    .
  • Strong understanding of data modeling, warehousing, and distributed systems
    .
  • Excellent English communication skills
    , both written and verbal.
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