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Our client, a leading publisher of mobile and social games, is seeking a skilled BI Data Engineer to enhance their Big Data systems. They heavily rely on their business intelligence (BI) infrastructure to optimize player experiences and drive business growth. This is an exciting opportunity to work with large datasets and contribute to a dynamic and successful organization.
Job Responsibility:
Design, build, and optimize ETL pipelines for data aggregation and movement
Implement and maintain data security protocols and processes
Ensure data is readily available and usable for reporting and visualization tools
Work with large data volumes and event-driven data
Contribute to the ongoing improvement of the BI infrastructure
Requirements:
3-5+ years of professional experience in data science, data engineering, or analytics roles
Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or equivalent experience
Experience with cloud-based data services, particularly AWS offerings such as S3, EC2, and EMR
Proficiency in Python and an object-oriented programming language
Strong database experience, with a focus on event-driven data
Proven ability to handle large data volumes
A proactive and hands-on approach to problem-solving in complex environments
Experience with testing methodologies
SQL scripting/programming experience
Nice to have:
Master’s or PhD in a relevant field, or equivalent experience
Practical experience with agile development methodologies and collaborative coding practices
Programming proficiency in Java and/or GoLang
Experience with the Hadoop ecosystem, including Spark, HDFS, Hive, Kafka, Sqoop, and HBase
Experience with data pipeline tools such as Luigi
Experience in mobile or social analytics, or within the mobile/social gaming industry
Up-to-date knowledge of current technologies in data science, BI, and data management
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