DWH Engineer
4 tygodni temu
Aristocrat Interactive is a leader in the Online Real Money Gaming space offering solutions spanning game content and aggregation, lotteries, online casino, sportsbook, game systems and managed services offered industry leading platforms.
The Data & BI team owns the group’s Data & Analytics platforms spanning Data Engineering, Analytical Engineering and Business Intelligence to lead the group’s data-driven modernisation both internally and for its clients.
The Data Warehouse Engineer will play a vital role as part of a cross-functional team to develop data pipelines to ingest, transform, distribute and expose data from the group’s Core Data Lake for integration, reporting, analytics, and automations.
The chosen candidate needs to be passionate about building scalable data models and architecture for consumption by other teams with the aim of making it easy for BI, Analytics, Product and other data consumers to build data-driven solutions, features and insights.
Responsibilities:
- Develop data models and schemas to optimize data storage, retrieval and serving for analytics.
- Provide clean data sets to end users, modelling data in a way that empowers end users to answer their own questions.
- Integrate data from different sources (e.g., databases, APIs, files) to provide a unified view of the data, preparing it for the unified data model, and ensure the data is accessible, accurate, and secure.
- Collaborate with the other teams to address data sourcing and provision requirements
- Coordinate with the Data Architect and Data Product to provide reporting interfaces
- Apply software engineering best practices to analytical transformation code (version control, testing, continuous integration)
- Stay up-to-date with the latest trends and technologies in data and analytical engineering.
- Maintain data documentation and definitions
- 3+ years of experience in data engineering, analytical engineering, data warehousing or a related field.
- Degree in Computer Science, Software Development or Engineering
- Proficient in SQL
- Experience with Snowflake and dbt is mandatory
- Understanding of RDMS, Columnar and NoSQL engines & their performance, especially PostgreSQL or equivalent
- Desire to deep dive into business
- Strong analytical and problem-solving skills.
- High level of accuracy and attention to detail in data-related tasks.
Skills
- Fluency in spoken and written English is essential
- Passionate about data and on the lookout for opportunities to optimise
- Passionate about technology and eager to trial and recommend new tools or platforms
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