Unlock Advanced Analytics with Expert Data Engineering Solutions

1 day ago

Sydney, New South Wales, Australia beBeeEngineering Full time $140,000 - $180,000
Job Description

As a data engineering solutions developer, you will be responsible for designing and implementing cutting-edge data engineering solutions to meet the evolving needs of our customers.

  • Develop and maintain data engineering solutions leveraging industry best practices in architecture, data products, pipelines, and infrastructure.
  • Stay up-to-date with emerging techniques and apply changing industry best practices to individual projects.

You will collaborate with a motivated and collaborative team to drive success in advanced analytics. Your expertise will help us deliver innovative solutions that meet the evolving needs of our customers.

We are looking for a skilled data engineer who can demonstrate experience in delivering data engineering solutions, collaborating with other teams, and applying problem-solving and communication skills effectively.

Required Skills and Qualifications
  • At least 5 years of experience in data engineering solution delivery with good problem-solving and communication skills.
  • Demonstrated experience in DataOps, InfraOps, DevOps, and MLOps development with at least one programming language.
  • Experience in Azure IoT and Gen-AI solution implementation.
  • Bachelor's degree in Computer Science, MIS, or Engineering (preferred).
Technical Requirements:
  • ETL using Pyspark, Python, SQL, etc., to create data products for AI/ML and BI consumers.
  • Data warehouse/Lakehouse design and implementation.
  • Delta Lake storage and Apache Spark engine performance optimization.
  • Azure: Databricks (Data Engineering and Gen-AI), IaC (Bicep preferred), DevOps, Azure ML workspaces, vnet, etc.
  • Insight reporting tools (PowerBI preferred).
Non-Technical Requirements:
  • Good problem-solving and effective communication.
  • Good team player and agile project delivery management.

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