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Centurion: Data Engineer – AWS posted by Psybergate

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Job Description

What you will be doing: 

  • Design, develop and maintain complex data pipelines from multiple sources into a central data platform/lakehouse.
  • Ensure reliability, scalability, and maintainability of pipelines.
  • Optimize data flows and data quality checks.
  • Contribute to the architectural design and enhancements of the data platform.
  • Support the implementation of cloud-first data solutions, primarily in AWS.
  • Lead initiatives for automation, monitoring, and CI/CD for data engineering workflows.
  • Provide technical guidance and mentorship to Data Engineers.
  • Advocate for best practices in data engineering, including version control, testing, and documentation.
  • Conduct code reviews and support knowledge sharing across the team.
  • Collaborate with data scientists, analysts, software engineers, and business stakeholders.
  • Translate business requirements into technical specifications and deliverables.
  • Support data consumers by developing reports, data products, and self-service solutions.
  • Keep up to date with new tools, technologies, and best practices in data engineering.
  • Evaluate and integrate new data sources and technologies as required.
  • Champion a data-driven culture within the organisation.

What we are looking for:

  • Completed degree or diploma in Computer Science, Information Systems, Engineering, or a related field.
  • 4 – 7 years of hands-on data engineering experience.
  • Advanced proficiency in Python and SQL.
  • Strong database design knowledge and experience with data warehousing techniques and modelling approaches.
  • Experience building and maintaining cloud-based data architecture (AWS preferred).
  • Hands-on experience with data ingestion from, amongst others: Microsoft SQL Server, Oracle, MongoDB, Amazon S3 and other AWS data services, HTTP APIs, SFTP, and various file systems.
  • Proficiency with Git, CI/CD pipelines, and Agile methodologies.
  • Familiarity with machine learning workflows and supporting analytics teams.
  • Strong experience with BI tools like Power BI for data storytelling.
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Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.



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