Earth Data Analytics Software Engineer

at  CSIRO

ACKNOWLEDGEMENT OF COUNTRY

CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation

THE OPPORTUNITY

CSIRO’s space and astronomy (S&A) is home to the CSIRO Centre for Earth Observation research program developing new satellite, calibration and data analytics capabilities for use by CSIRO researchers and our clients. The Earth Analytics Science and Innovation (EASI) platform is one of our primary data analytics capabilities supporting 100s of scientists across CSIRO and around the world. It consists of a range of Cloud native technologies (Terraform, Kubernetes, Dask, AWS Cloud) combined with open-source data science libraries (Python, Open Data Cube, Torch, Dask) providing advanced continental scale distributed data analytics tools and techniques along with access to data from a wide range of satellite and other data sources.
We are seeking a Software Engineer with a high level of demonstrated expertise in Python data analytics, preferably in Cloud scalable environments.
In this role, you will work collaboratively with other leading technical specialists in designing, implementing, and advancing scalability of the EO data pipelines and automation workflows which provide Analysis Ready Data to EASI users and in a range of collaborative large data analytics projects involving hyperspectral EO, LIDAR and machine learning.
You will work in an agile cross functional team and be required to work very closely with scientists, solutions architects, and security to contribute to and validate designs. The role will play a key part in delivering the next generation of our Earth analytics capability to the business and our customers.
The position will provide the opportunity for continual learning and to work with a highly skilled and diverse team.

• Technically contribute to the design and implementation of applications and highly scalable scientific algorithms in Earth analytics using Python.
• Develop scalable data processing pipelines and robust scientific workflows at continental scale in a Cloud native environment using Kubernetes and AWS.
• Coordinate and produce relevant systems documentation.
• Keep management and other team members informed of progress and issues via the Azure DevOps environment and other software engineering and communications tools (GIT, MS Teams).
• Communicate openly, effectively and respectfully with all staff, clients and suppliers in the interests of good business practice, collaboration and enhancement of CSIRO’s reputation.
• Work collaboratively as part of a multi-disciplinary, regionally dispersed team to carry out tasks in support of AquaWatch partnership objectives.
• Adhere to the spirit and practice of CSIRO’s Values, Code of Conduct, Health, Safety and Environment procedures and policy and diversity initiatives.
• Other duties as directed.
  Location: Canberra or Adelaide
  Salary: AU$126,313 - AU$148,014 per annum plus up to 15.4% superannuation
  Tenure: Specified term of 3 years
  Reference: 96878