Millennium Digital Consulting Pty Ltd

• Location: CANBERRA, Onsite
• Australian Citizen
• AGSVA Clearance Minimum NV2

Required Skills/Experience

Minimum 5 years dedicated data engineering experience across:

• SQL development including 3NF design, STAR schema design and implementation, in a data warehouse context.
• Agile development, preferably Scrum.
• Experience migrating legacy data warehouse environments to preferably modern analytical platforms or experience with large application data migration or refactoring.
• Python scripting, data engineering or data analysis
• Data DevOps including ETL/ELT pipeline execution, data quality controls / verification
• Datamart design, build and testing.
• SQL code optimisation and refactoring.
• Python scripting and data transformation.

Desirable

• Experience with Data Vault 2.0 patterns, data mesh structures
• Experience with the logistics systems and logistics business domain, especially in a SAP enterprise context.
• Experience with Defence or related industries such as capability development and delivery, sustainment or operational planning.
• Experience with data engineering of sensitive datasets at SECRET, protected identities (PI) and personality identifiable information (PII)
• Working in a large team on a complex application in a decision support or data analytics context.
• Cloudera data analytics suite (CDV, CML etc) including Hive, Impala, Ozone, Iceberg, Spark or contemporary suite eg Databricks including data mesh concepts.

Expected Outcomes:

Contribute to:

• Successful migration of logistics and sustainment data for SPARO from legacy data sources to SAP target state and development of supporting interim or enduring data assets whilst maintaining product functionality and quality.
• Planning and execution of migration of Army legacy data warehouse assets into enterprise Data Mesh domains

Security Requirement:

Minimum NV2 security clearance.