Data Engineer

Sydney

$175,000 Inc Super + Bonus

As a Data Engineer within our dynamic Engineering team, you will play a crucial role in developing cutting-edge applications to support our Data Transformation initiatives. This is a permanent position offering the opportunity to work on innovative projects within a supportive team environment.

Key Responsibilities

• Utilize your expertise in data warehousing and information management to contribute to the development of our future-ready Data Platform.
• Design and implement data models to support business requirements.
• Leverage your Linux/Unix skills and prior experience with AWS to build robust and scalable data solutions.
• Develop and optimize complex SQL queries and data manipulation processes.
• Utilize Big Data querying tools such as Hive, Spark, and Presto to extract insights from large datasets.
• Implement API-based integrations and orchestrate data pipelines using tools like Apache Oozie, Airflow, or Argo Workflows.
• Apply your knowledge of technical solutions, design patterns, and code to develop medium/complex applications deployed in clustered computing environments.
  
  

Desired Skills And Experience

• Proficiency in programming languages such as Scala, Java, or Python, particularly in the context of Big Data technologies like Spark.
• Redshift.
• Experience working with Docker, Kubernetes, and familiarity with containerized environments.
• Exposure to security concepts and best practices related to data engineering.
• Knowledge of machine learning concepts and tools such as Spark ML or R.
• Experience with major Hadoop distributions such as Cloudera, MapR, or Hortonworks HDP.
• Familiarity with build tools like Maven, Gradle, and Ant.
  
  

If you feel you possess the relevant skills to the above, apply now with most updated CV!