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описание
Candidates must be authorized to work in Poland without visa sponsorship, and the role requires mandatory background screening and regulatory approvals including fingerprinting and licensing.
Aristocrat is an Australia-based entertainment and content-creation company that delivers world-leading mobile and casino games. The organization operates through three business units, including regulated land-based gaming, social casino, and online real-money gaming, utilizing technology to provide content and platforms for iLottery, iGaming, and sports betting.
задачи
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 Apache Spark and Kafka;
Collaborate with 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;
Collaborate with data engineers, data scientists, and business stakeholders to drive data-driven decision-making;
Integrate AI/ML concepts to improve analytical capabilities;
Identify improvement opportunities and optimize processes to enhance performance and efficiency.
требования
Over 4 years of experience as a Data Engineer;
Proven experience with ETL processes and tools;
Strong proficiency in Python for data manipulation and analysis;
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 Snowflake;
Experience working with Delta Tables;
Understanding of AI/ML concepts and applications;
Strong analytical and problem-solving skills;
Excellent communication skills and ability to work with cross-functional teams;
Nice to have: Experience with CI/CD pipelines, up-to-date knowledge of trends in data management, BI tools, and database technologies.
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