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Data Engineer

  • Hybrid
    • Warsaw, Warmińsko-Mazurskie, Poland
  • Engineering

Hybrid work: 2-3 days from office
Location: Warsaw

Job description

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.

Job requirements

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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