Data Specialist
2 weeks ago
TEKsystems, Inc
- Posted: 08/02/2023
**Location**:
- Sydney Other**Employment Type**:
- Contract
**Job ID**:
536852
**Job Summary**:
- High Profile Government Client
- Work From Home Flexibility
- Daily Rate Contracting Opportunity
**PRIMARY PURPOSE**
The data specialist is a key role embedded in digital BI, data and advanced analytics initiatives with the Client (inclusive of both business and IT-driven initiatives). The position plays a key role in delivering enterprise business intelligence and analytics capability across the organisation.
The role is predominantly responsible for the following:
- Driving BI, data and advanced analytics-based solutions and prototypes
- Implementing Data engineering, Extract Transform Load solutions and prototypes
- Create sophisticated models for data-ready analysis
**KEY ACCOUNTABILITIES**
- Responsible for all aspects of the ETL and data management process, including design, development, testing, documentation and support of highly reliable ETL and data management solutions
- Understand functionality, scalability, performance, security, and integration requirements from the database perspective, and translate these requirements into functional, scalable and reusable components for the development framework.
- Responsible for the development of data integration, data discovery architecture and (batch and real-time) processes for the enterprise data repository environment.
- Develop data set processes for data modelling, mining, and production
**SELECTION CRITERIA**
- Experience in the use of data engineering, ETL, data cleansing, data scrubbing, data discovery and analytics modelling tools.
- Sound proficiency in **Domo, IBM Datastage,Tableau** and advanced analytics modelling tools.
- Extensive experience in data services and **ETL development** in an enterprise data repository environment.
- Experience in logical and physical and dimensional data modelling, physical database design and performance optimisation.
- Strong analytic skills / ability to write quality use cases and **SQL skills**:
- Experience **Building large-scale batch and real-time data pipelines **with data processing frameworks such as Spark, Cloudera, Hortonworks etc.
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