AddressOur client seeks the services of Senior Data Engineer with experience in coding languages (such as SQL, Python, R, Powershell)
Our client in Australia Wide seeks the services of Senior Data Engineer with NV1 clearanceCandidates will be required to:
- Contribute expertise to development of data ingestion and ETL solutions for JSA data assets critical for projects and ongoing business.
- Establish streamlined processes to deliver business-ready data for use by JSA teams.
- Develop and build Data Engineering solutions to join and transform data assets critical to delivery of JSA projects.
- Review and refine existing Data Engineering solutions
- Provide advice and guidance on risks and issues to non-technical managers and stakeholders.
- Assist with data modelling on existing data assets to inform data architecture.
- Develop, implement and review processes, and procedures related to JSA data infrastructure,.
- Work closely with application, infrastructure and networking partners on development of infrastructure to support data and analytics projects, and integration between cloud and on-premises hosted services
- Work under limited direction and be accountable for planning, analysis, design, development, and delivery activities within tight timeframes.
- Data Engineering • Qualifications in Computer Science, IT or a related discipline • Data engineer experience • Demonstrated experience in developing, configuring, validating, and managing Microsoft cloud platforms, Data Factory, SQL Server, Databricks. • Understanding of Machine Learning concepts. • Demonstrated experience in DevOps and/or DataOps. • Documented, hands-on ETL development using tools like SQL Server Integration Services or Azure Data Factory.
- Data modelling and database management • Data modelling experience • Strong knowledge of database structure systems, data analytics, data mining and data modelling techniques. • Documented experience in data analysis and management, with excellent analytical problem-solving abilities. • Demonstrated ability to combine multiple large and complex datasets to deliver high-quality datasets.
- Coding and systems administration • Demonstrated experience in coding languages (such as SQL, Python, R, Powershell) • Systems administration experience • Database / Data Lake management experience from design, development, delivery, validation and ongoing maintenance.
- Reporting and visualisation • Experience using and developing engineering solutions for data visualisation tools such as RStudio, Power BI, SAS, Qlik, Tableau. • An applied understanding of UI design concepts.
- Communication and Collaboration • Well-developed team collaboration and communication skills • Demonstrated ability to work under limited direction and accountability for completion of work. • Demonstrated ability to provide advice and develop solutions within multi-disciplinary work environments. • Demonstrated ability to communicate complex technical concepts to non-technical staff.
- • Experience with the deployment and maintenance of machine learning models. • Experience developing datasets API delivery for a variety of scenarios • Experience with machine learning technologies. • Apache Spark (Scala or Python) experience. • Spark SQL coding experience. • Automation experience. • End-to-end Machine Learning pipeline development. • Proven experience working on Data Science projects.
Length of Contract: 12 months with possible extension upto 2*12 months
The role closes at 2pm Wednesday 31st January 2024
Please contact Beena on 04 6876 4459 or simply click apply to submit your application.
ARIS•ZINC offers an end-to-end service approach with unique combination of expertise in recruiting, IT consulting and payroll services in the Canberra, Sydney and Brisbane markets. We champion people first, empowering them to take charge of their own aspirations and professional futures.
ARIS•ZINC encourages diversity and welcomes applications from Indigenous Australians, people from a diverse range of backgrounds, including people living with a disability.
