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Data Engineer

The Workly·Salary not specified

Primary stack

SQLPythonScalaAWSKafka

Nice to have's

AirflowETL

Job description

About the Position

We are seeking a skilled Data Engineer to build scalable data pipelines and infrastructure using SQL, Python/Scala, and cloud platforms like AWS.

Responsibilities

  • Collect, process, and analyze large datasets to extract meaningful insights
  • Design and conduct experiments to test hypotheses and validate data-driven solutions
  • Collaborate with cross-functional teams to identify data needs and align strategies with organizational goals
  • Create templates, dashboards, and visualizations to communicate findings effectively to stakeholders
  • Ensure data integrity and accuracy through cleaning, preprocessing, and validation techniques
  • Optimize data collection and storage processes for efficiency and scalability

Requirements

  • SQL
  • Python
  • Scala
  • AWS
  • Spark
  • Kafka
  • Hadoop
  • Data modeling
  • ETL/ELT pipeline construction
  • Data warehousing
  • Orchestration tools like Airflow
  • Strong problem-solving, collaboration, and data governance skills
  • Knowledge on Manufacturing process is preferred

We Offer

  • Remote work opportunities

About the Company

The Workly s.r.o.

4D CENTER, Kodaňská 1441/46,

101 00, Praha 10.

Contact:

[email protected]

  • 420 775 371 991

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