Data Engineer

6 dni temu

Warszawa, Mazovia, Polska TechBiz Global Pełny etat

At TechBiz 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.

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, CloudWatch, 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 & DevOps:

Strong hands-on experience with the AWS stack (Lambda, S3, CloudWatch, 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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