Data Engineer
Description
Aristocrat is on a mission to harness the power of play to bring happiness to millions worldwide. We are looking for dedicated individuals who can contribute to our innovative culture and make a significant impact. As a Data Engineer, you'll be at the forefront of our ambitious data initiatives, driving solutions that are both scalable and high-performance. This is an outstanding opportunity to work with world-class technologies, collaborate with diverse teams, and implement flawless data processes that propel our business forward!
Responsibilities
- Lead and participate in impactful data initiatives, analyzing complex data challenges and delivering scalable, high-performance solutions.
- Build, develop, and maintain robust ETL pipelines and large-scale batch processing workflows using technologies such as Apache Spark and Kafka.
- Collaborate with contemporary data platforms such as Microsoft Fabric, Azure Databricks, Snowflake, and Delta Tables in Lakehouse architectures.
- Ensure data quality, consistency, and reliability through profiling, validation, and optimization across diverse data sources.
- Translate complex business requirements into innovative, efficient technical solutions, combining deep technical expertise with strong business understanding.
- Collaborate closely with data engineers, data scientists, and business collaborators to drive data-driven decision-making.
- Integrate AI/ML concepts where relevant to improve analytical capabilities.
- Proactively identify improvement opportunities, think creatively to optimize processes, and continuously improve performance and efficiency.
Requirements
- Over 4 years of experience working as a Data Engineer.
- Proven experience with ETL (Extract, Transform, Load) processes and tools.
- Strong proficiency in Python (mandatory) for data manipulation and analysis, R is an advantage.
- Advanced knowledge of SQL and NoSQL databases.
- Hands-on experience with Apache Spark or similar big data processing frameworks.
- Experience working with Microsoft Fabric, Azure Databricks, or comparable large-scale data storage platforms like Snowflake.
- Experience working with Delta Tables.
- Understanding of AI/ML concepts and applications.
- Strong analytical and problem-solving skills with a proactive attitude dedicated to making improvements.
- Excellent communication skills and ability to work effectively with cross-functional teams.
- Natural curiosity and investigative approach with a strong desire to continuously learn and improve.
- Experience with CI/CD pipelines.
- Up-to-date knowledge of trends and advancements in data management, BI tools, and database technologies.
Benefits
- Robust benefits package
- Global career opportunities