Your role and responsibilities
As an entry-level Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
In this role, your responsibilities may include:
- Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
- Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements
- Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
- Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results
Required education
Bachelor's Degree
Required technical and professional expertise
- Be an Australian Citizen/ Permanent Resident
- Satisfy an AU Gov client Pre-Engagement Integrity Check
- Be eligible to obtain an AGSVA NV1 security clearance or already have AGSVA NV1 security clearance
- Permanent Residents: Must have been an Australian resident for the past five (5) years.
- Outcome focused, possessing a high level of resilience, you demonstrate the flexibility and resolve needed to achieve success a across a broad range of consultative contexts
Track record of academic success - Highly motivated, with clear evidence of drive and significant achievements
- Ability to understand clients’ needs and challenges, and apply creative and logical approach to identify solutions
- Exceptional quantitative analysis skills and ability to derive recommendations informed by data and insights
- Ability to handle multiple tasks concurrently and meet deadlines, while maintaining focus in an environment with conflicting demands
- Ability to communicate complex situations clearly and simply by listening actively and conveying difficult messages in a positive manner
- A passion for innovative ideas, coupled with the ability to understand and assimilate different points of view
- Ability to translate business requirements into technical solutions
- Ability to apply logic to solve business problems through a detailed analytical approach
- Drive to overcome the most challenging or difficult obstacles and look for ways to improve results
- Initiative to actively seek new knowledge and improve skills
- Ability to translate requirements into a business case
Preferred technical and professional experience
- Basic understanding or experience with predictive/prescriptive modeling skills
- You thrive on teamwork and have excellent verbal and written communication skills.
- Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
- Ability to ask business and industry questions to identify appropriate modeling techniques
- Ability to communicate results to technical and non-technical audiences
