development. Experience with distributed, data-intensive processing and algorithm development, from both design highly desirable. DUTIES: Implement and verify Data processing system and Astronomy software packages. Contribute specialist that supports the establishment of data processing operations. Participate in project management development. Experience with distributed data-intensive processing and algorithm development, ideally both Arrow, HDF5 or equivalent) Understanding of data processing algorithms, such as Fourier transformations
telescope data processing software and products. Document and test pipeline and data processing software deployments. Handle system incidents and support data processing pipelines. Engage in planning and continuous telescope-wide integration activities. Represent data processing interests at international meetings. Adhere
Responsibilities: Design, develop, and improve data processing telescope software and data products. Document Document and test pipeline and data processing software. Support deployment of releases by engaging with incidents and provide support for telescope data processing pipelines and software. Participate in Computing regular operations support for the telescope's data processing capability. Establish, maintain, and engage integration activities and events, representing data processing interests and issues. Represent the organization
aggregation, and the automation of repetitive data processing pipelines using software tools Highly skilled and SQL basics Demonstrated understanding of data processing principles, data warehousing, cleaning, ETL BigQuery Experience with using software for data processing (e.g., Python, R, Matlab) Experience with development
and creating data visualisations. Design and implement scalable and robust processes for ingesting and code. Integrate machine learning models into data processes and ML platform. Design and implement scalable : Experience with big data, ETL, and data management processes. · Platform Engineering : Experience with identifying and pursuing opportunities to improve data processes and solutions. Comfortable proposing and experimenting
and creating data visualisations. Design and implement scalable and robust processes for ingesting and code. Integrate machine learning models into data processes and ML platform. Design and implement scalable : Experience with big data, ETL, and data management processes. · Platform Engineering : Experience with identifying and pursuing opportunities to improve data processes and solutions. Comfortable proposing and experimenting
delivery team essential Design and implement data processing and analytics solutions Utilize cloud environments
Auditing/Finance/Accounting · Basic knowledge in Electronic Data Processing · Have 4 years Auditing experience · Have in
data solutions; taking responsibility for data processing and providing data analysis support as required should have knowledge of Matlab for use in data processing, Cybersecurity and OTA principles, J1030 CAN
experience in data management. Key Responsibilities: Design, develop and maintain ETL processes using SQL requirements and ensure data accuracy Troubleshoot and resolve any issues with ETL processes and data quality