BI Data Engineer

Great Canadian Gaming Corp.; Victoria; On-site; CAD 70,000 - 110,000; Full time

Job summary

A leading company in the mobile and social gaming industry is seeking a skilled BI Data Engineer. The role focuses on improving Big Data systems, ensuring data usability in reporting tools, and optimizing player experiences. Candidates should have strong experience in data engineering and be familiar with AWS and various programming languages. This is a permanent, full-time position based onsite in Victoria.

Qualifications

• 3-5+ years of work experience in data science, engineering or analytics roles.
• Experience with AWS offerings, including S3, EC2 and EMR.

Responsibilities

• Design, build and improve ETL pipelines for data aggregation.
• Implement processes to maintain data security.

Skills

Data Science

Problem Solving

Education

Bachelor degree in Computer Science

Tools

AWS

Python

Tableau

PowerBI

Hadoop

Job description

Job Description : BI Data Engineer

• Employment type: Permanent , full time
• Location: Onsite at Victoria Downtown
• Salary : $70,000-110,000 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