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Data Engineer

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Company
Brainhunter Systems Ltd
Job location
Victoria, CA
Job type
Full-time
Salary
Undisclosed
Posted
Hosted by
Adzuna

Job details

Employment type: Permanent , full time Location: Onsite at Victoria Downtown (British Columbia) Salary : $80,000-1,25,000 CAD annually (Exact compensation will be based on skills and experience) On behalf of my client, we’re seeking a skilled BI Data Engineer to improve their Big Data systems. My client is a highly successful publisher of mobile and social games and relies heavily on their BI (business intelligence) stack to optimize the player experience and their business. Key activities and deliverables: Design, build and improve ETL (extract, transform and load) pipelines in support of data aggregation and movement Implement processes to efficiently maintain data security Ensure data is ingestible and usable in reporting visualization tools such as Tableau, Looker, Meta, or PowerBI Qualified candidates will have: 3-5 years of work experience in data science, engineering or analytics roles Bachelor degree or higher in Computer Science, Engineering or Math, or equivalent experience Experience with AWS (Amazon web services) offerings, including S3, EC2 and EMR Development ability in python and an Object Oriented programming language Strong database experience, leveraging event-driven data Experience handling large data volumes Drive to thrive in a complex environment with a hands-on approach to problem solving Preferred candidates will have: Master’s or PhD in relevant field or equivalent experience Practical experience with agile development practices and egoless programming Programming skill with Java and/or GoLang Experience with Hadoop Ecosystem including Spark, HDFS, Hive, Kafka, Sqoop and Hbase Experience with Luigi pipelines for moving data between HDFS (Hadoop Distributed File System) and RDBMS (Relational Database Management System) Experience in mobile or social analytics and mobile/social game industries (though interesting perspectives from other industries are also appreciated) Current knowledge on the latest technologies in data science, BI and/or data management
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