Senior Data Engineer

Sydney, New South Wales 2000, Australia • Full-time
AI Job Summary
  • 5+ years of experience in data engineering.
  • Experience with Hadoop, Spark, or Kafka.
  • Experience with AWS, Azure, or Google Cloud.

Role Type

On-site • Permanent • Full-time • Mid-level Senior

Pay Rate

$110,000 AUD – $160,000 AUD (Annum)

Description

Summary:

We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our data infrastructure, ensuring that it is scalable, reliable, and efficient. The Senior Data Engineer will work closely with our data scientists and analysts to ensure that our data is accurate and accessible.

Responsibilities:

  • Design, develop, and maintain our data infrastructure, including data pipelines, data warehouses, and data lakes
  • Collaborate with data scientists and analysts to ensure that our data is accurate and accessible
  • Optimize data infrastructure for scalability, reliability, and efficiency
  • Develop and maintain data quality standards and processes
  • Implement data security and privacy measures
  • Stay up-to-date with emerging technologies and trends in data engineering

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in data engineering
  • Strong programming skills in languages such as Python, Java, or Scala
  • Experience with big data technologies such as Hadoop, Spark, or Kafka
  • Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud
  • Strong understanding of data modelling and database design principles
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills