The Codest

Senior Data Engineer

The Codest

full-time

Posted on:

Location Type: Remote

Location: Poland

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Salary

💰 PLN 19,000 - PLN 24,000 per month

Job Level

About the role

  • Design and implement data processing pipelines according to requirements, including steps for data transformation, validation, and mapping
  • Build necessary components to connect with various data sources and destinations, such as APIs, SQL databases, S3 buckets, and SFTP servers
  • Update and modify existing data flows within the ETL tool as needed
  • Conduct comprehensive testing and validation to ensure the accuracy of data transformations, verification, and final delivery
  • Create and execute unit and regression tests
  • Provide post-deployment support and resolve any issues that arise

Requirements

  • Advanced English in speaking and writing (you will be working with international clients only)
  • 3 to 5+ years of hands-on experience with ETL processes
  • Background in managing and controlling data-centric processes
  • Experience collaborating with a team of developers using agile methods to achieve targeted project outcomes
  • Strong ability to comprehend and apply coding structures and logical workflows
  • High attention to detail and a commitment to accuracy
  • Expertise in designing and overseeing data engineering workflows and pipelines
  • Familiarity with Apache NiFi or Python is a plus
Benefits
  • 100% remote work (but we have offices in Krakow and Warsaw and we’re happy to meet there from time to time 😉)
  • 300 PLN to use on our benefits platform, Worksmile - gift cards, medical services, sports, etc.
  • Integration events, education opportunities and much more…
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETL processesdata processing pipelinesdata transformationdata validationdata mappingunit testingregression testingdata engineering workflowsApache NiFiPython
Soft Skills
advanced Englishattention to detailcommitment to accuracycollaborationagile methodslogical workflows