Our Commodities and Global Markets Data Transformation is an exciting program of work as we embark on our journey to build the innovative and future ready Data Platform that will help Macquarie businesses meet customer needs. At Macquarie, we are working to create lasting value for our communities, our clients and our people. We are a global financial services group operating in 34 markets and with 54 years of unbroken profitability. You’ll be part of a supportive team where everyone - no matter what role - contributes ideas and drive outcomes.

What role will you play?

As a Big Data Engineer, you will join our dynamic Engineering team developing cutting-edge applications. We are industry pioneers and we actively look for innovative ways to achieve great results, which do speak for themselves. This is a permanent role.

We have multiple positions at different levels and are very open to training and developing people. Perfection is not required - please apply if you do not meet all the criteria and we can consider where we can best support you!

What you offer?

• Data warehousing experience with emphasis on Information management domain
• Data modelling experience
• Linux/Unix skills
• Prior working experience with AWS
• Solid SQL experience, authoring complex queries and DDL
• Big data querying tools like Hive, Spark, Presto
• Working knowledge of API-based integration for modern system
• Working knowledge of Data Pipelines tools like Apache Oozie, LUIGI or Airflow
• Exposure to working in an Agile environment
• Proven ability to troubleshoot and resolve production issues under a DevOps model
• A track record of continuously identify opportunities to improve the performance and quality of your ecosystem
• Experience monitoring performance and ensuring infrastructure is appropriately matched to support workload and SLAs
• A broad knowledge of technical solutions, design patterns, and code for medium/complex applications deployed in clustered computing environment.
  
  

We are also interested in any of the below as desirable:

• Good experience in programming languages like (Scala or Java or Python) in context of Big data technologies like Spark
• Experience working in environments with Docker, Kubernetes, Openshift
• Exposure to security concepts and best practices
• Knowledge of machine learning (E.g. Spark ML or R)
• Experience and knowledge of major Hadoop distribution such as Cloudera, MapR, Hortonworks HDP
• Good experience with build tools like Maven, Gradle, Ant
  
  

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

If you would like to know more, read our Engineering Blog , where our engineers openly share their experiences.