Senior Data Pipeline Architect

2 days ago


Sydney, New South Wales, Australia beBeeDataEngineering Full time $120,000 - $180,000

Job Description

As a Snr Data Engineer, you will play a critical role in designing and managing cloud databases and data pipelines that underpin a decoupled cloud architecture and API-first approach.

You will collaborate with cross-functional teams to design, develop, deploy, and operate data services and solutions for a cloud ecosystem.

Key responsibilities include owning functional and non-functional design aspects, contributing to roadmaps, and technical direction of data services on AWS environments.

Additionally, you will model data and ensure quality, availability, and reliability to support advanced analytics, machine learning, and generative AI requirements.

  • Design, create, and manage cloud databases and data pipelines.
  • Collaborate with cross-functional teams to design, develop, deploy, and operate data services and solutions.
  • Own functional and non-functional design aspects and contribute to roadmaps and technical direction.
  • Model data and ensure quality, availability, and reliability.

Required Skills and Qualifications

The ideal candidate will have a deep understanding of data modelling and data quality, extensive experience with SQL and relational databases, and expertise in designing and building reliable and efficient data pipelines using modern cloud services on AWS.

Other key skills and qualifications include experience with data-centric frameworks such as Spark, programming knowledge in Scala or Python, comfort with Linux, shell scripting, and automation frameworks, and experience with version control (e.g., Git) and CI/CD practices.

  • Deep understanding of data modelling and data quality.
  • Extensive experience with SQL and relational databases.
  • Experience designing and building reliable and efficient data pipelines.
  • Expertise in data-centric frameworks such as Spark.
  • Programming knowledge in Scala or Python.
  • Comfort with Linux, shell scripting, and automation frameworks.
  • Experience with version control (e.g., Git) and CI/CD practices.

Benefits

We offer flexible work arrangements, including in-office and remote options, with partial in-office time and other flexible working arrangements available. We value diversity, inclusion, and a respectful workplace, and encourage ideas and initiative.

Others

If you are passionate about data engineering and have the required skills and qualifications, we encourage you to apply today.



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