Senior Big Data Engineer - Location Analytics

Job Description


The Role:

We are looking for a Big Data Engineer to join a fast-growth location analytics company with offices in Australia and Asia Pac. The team is off to a great start for FY22 and are looking to build their Data Engineering team, ideally someone with great autonomy and has a broad understanding across different technology stacks.

The environment is fast-paced and you will be involved in both the core location data platform as well as helping public & private companies leverage this for varied use-cases.  

The ideal candidate:
  • This is a very autonomous role which will see you take responsibility for end-to-end solution design, deployment, implementation and post-production support.
  • Minimum of 2-3+ years of experience in production Apache Spark environments (could be Databricks, AWS (with EC2/S3/Lambda highly regarded) MapR, Cloudera, Hortonworks, Azure)
  • Any real-time, streaming big data experience would be highly valuable
  • Other related technologies (e.g. SQL, Teradata, Hadoop, GIS/geospatial data, Hive, Spark Streaming, Java, Docker, Kubernetes, Scala, Tableau, Kafka) and APIs are highly valued
  • Excellent soft skills and communication with data science peers, other engineers, business stakeholders

The Opportunity:
  • Start-up / flat-structured business, but with problems and data at huge scale!
  • Very exciting data-sets with varied use-cases!
  • A rare opportunity to leverage skills on both technology and business sides - this is an engineering role working closely with data scientists, product managers and strategy!
  • Modern tech and data science stacks - the scale of data and opportunity to work with streaming and near real-time data! 

We are already interviewing - if this opportunity looks fitting for you, please apply with your CV / Cover Letter or profile and we will arrange a more in-depth chat with shortlisted applicants.

There is something wrong with this job ad? Report the error

Related Ads