Qureos

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Data Engineer - Career

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What you’ll do

  • Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model.

  • Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems.

  • Integrate, consolidate, cleanse and structure data for use by our clients in our solutions.

  • Perform design, creation, and interpretation of large and highly complex datasets.

  • Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.

  • Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions.

  • Implement security best practices in pipelines and infrastructure.

  • Develop and implement data quality checks and troubleshoot data anomalies.

  • Provide guidance and mentorship to junior data engineers.

  • Review dataset implementations performed by junior data engineers.

What experience you need

  • BS degree in a STEM major or equivalent discipline; Master’s Degree strongly preferred

  • 5+ years of experience as a data engineer or related role

  • Cloud certification strongly preferred

  • Advanced skills using programming languages such as Python or SQL and intermediate level experience with scripting languages

  • Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments

  • Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects

  • Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance

  • Demonstrates advanced Git usage and CI/CD integration skills

What could set you apart

  • Experience in AI/ML engineering.

  • Knowledgeable in cloud security and compliance.

  • Experience mentoring engineers or leading training.

  • Proficient with data visualization tools.

  • Cloud certification such as GCP strongly preferred

  • Self Starter

  • Excellent communicator / Client Facing

  • Ability to work in fast paced environment

  • Flexibility work across A/NZ time zones based on project needs

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