Data Engineer II

at  Aristocrat Gaming

We are pioneers in our field and relentless in our pursuit of excellence. Aristocrat is an ideas company at heart, which means innovation is embedded into every aspect of our business. Whether we are designing sleek new cabinets, premium game content or award-winning systems, we apply fresh thinking and creativity to deliver the world’s greatest gaming experience, every day. With our cool new titles along with our award-winning apps, we are continually pushing the bar of creativity.
Aristocrat is seeking an energetic, enthusiastic, and well-organized individual who would like to work in a multi-disciplinary environment as a Data Engineer. The Data Engineer plays a lead technical role in Analytics, Data Mining, Data Architecture and Data Science in general. The Data Engineer has a high-level of proficiency in analytic, and BI design producing high quality, robust, and maintainable products. This engineer has strong SDLC (Software Development Life Cycle) experience and is expected to work with little or no supervision. In this role, you will be an integral part of the team that creates and implements a vision for the data applications that support critical revenue generation for the company. If you are an exceptionally motivated, smart, and driven individual who wants to work in a fast-paced, ever changing environment, this position is for you.

PREFERRED SKILLS

• Experience with MS SQL Server configuration and management is a plus.
• Experience in data warehousing technologies BigQuery and Snowflake is a plus.
• Experience with GCP App Engine, Cloud Run and Vertex AI is a plus.
• Experience with NoSQL, Hadoop and other Big Data technologies is a plus.
• Experience in Agile SDLC development methodologies are a plus.

• Build and support data solutions that deliver strategic business value.
• Drive world-class design and development of end-to-end analytics solutions for products that support high volumes and enable advanced analytical modeling.
• Lead the technical evaluation and recommendations for platforms/tools that enable data mining, advanced analytics, data visualization, statistical analysis, and reporting.
• Identify and propose software development process improvement initiatives for improving execution speed and quality.
• Extract data from disparate sources and transform into data platforms.
• Partner with stakeholders and data team members to improve data availability, automation, and quality.
• Complete other duties as assigned