**Title: Data Engineering Manager**
- Direct, manage, and oversee a team of data warehousing professional employees, including Associate Managers, Systems Analysts, and Senior ETL Developers.
- Assign work and work schedules, and monitor the completion of teams' core duties, responsibilities, assignments, and projects.
- Exercise exclusive control and authority over approving all work product of all members on the team.
- Exercise full discretionary authority over planning, staffing, execution of the project, and oversight.
- Direct coordination and consultation with internal senior management on project risks, concerns, and financials.
- Build analytical systems from the ground up, which includes providing architectural directions, translating business issues into specific requirements to develop analytic solutions, and identifying appropriate data to support the solutions.
- Conduct feasibility study, capacity planning, and process redesign/re-engineering of complex integration solution.
Must have 3 years of experience in each of the following:
- Managing, designing, and developing large scale ETL and DW solutions across multiple data sources; and
- Capacity planning, process redesign, and re-engineering of complex integration solution.
Must have 1 year of experience in each of the following:
- Managing work in Azure DevOps;
- Utilizing DataGlance to execute data conversion;
- SQL performance tuning and query optimization; and
- ETL workflow management in performing data profiling, data migration, extraction, and transformation.
**Job Types**: Full-time, Permanent
**Salary**: Up to $185,358.52 per year
**Benefits**:
- Work from home
Schedule:
- 8 hour shift
Supplemental pay types:
- Performance bonus
Ability to commute/relocate:
- Sydney, NSW: Reliably commute or planning to relocate before starting work (required)
Work Authorisation:
- Australia (preferred)
Work Location: In person