BI Data Engineer

A leading company in the mobile and social gaming industry is looking for a skilled BI Data Engineer to join their team in Victoria. This is a great opportunity for a highly motivated individual with a strong background in data science, engineering, and analytics. As part of the team, you will play a crucial role in improving and optimizing Big Data systems that support business intelligence (BI) processes, enhancing the player experience, and driving business growth.

You will be responsible for designing, building, and improving ETL (Extract, Transform, Load) pipelines to efficiently aggregate and move data. Your work will ensure that the data is both secure and usable in reporting and visualization tools, supporting strategic decision-making processes.

Key Responsibilities:
Design, build, and improve ETL pipelines to support efficient data aggregation and movement.
Implement and maintain processes to ensure data security and privacy.
Ensure that data is easily accessible and usable for reporting and visualization in tools such as Tableau, Looker, Meta, or PowerBI.
Collaborate with cross-functional teams to ensure effective data integration and utilization.

Required Qualifications:
3-5+ years of experience in data science, engineering, or analytics roles.
Bachelor’s degree or higher in Computer Science, Engineering, Math, or a related field, or equivalent experience.
Experience with AWS services (e.g., S3, EC2, EMR).
Proficiency in Python and an Object-Oriented programming language.
Strong experience with databases and event-driven data.
Proven ability to handle large data volumes and optimize data flows.
Hands-on problem-solving approach and ability to thrive in complex environments.

Preferred Qualifications:
Master’s or PhD in a relevant field, or equivalent experience.
Experience with agile development practices and egoless programming.
Proficiency in Java and/or GoLang.
Experience with the Hadoop Ecosystem, including Spark, HDFS, Hive, Kafka, Sqoop, and HBase.
Familiarity with Luigi pipelines for moving data between HDFS and RDBMS.
Experience in mobile/social analytics and the mobile/social gaming industry (though candidates with experience in other industries are also encouraged to apply).
Knowledge of the latest trends and technologies in data science, BI, and data management.

This role offers a competitive salary based on skills and experience, along with the opportunity to work in an exciting and dynamic industry.

Advantages
A leading company in the mobile and social gaming industry is looking for a skilled BI Data Engineer to join their team in Victoria. This is a great opportunity for a highly motivated individual with a strong background in data science, engineering, and analytics. As part of the team, you will play a crucial role in improving and optimizing Big Data systems that support business intelligence (BI) processes, enhancing the player experience, and driving business growth.

You will be responsible for designing, building, and improving ETL (Extract, Transform, Load) pipelines to efficiently aggregate and move data. Your work will ensure that the data is both secure and usable in reporting and visualization tools, supporting strategic decision-making processes.

Responsibilities
Key Responsibilities:
Design, build, and improve ETL pipelines to support efficient data aggregation and movement.
Implement and maintain processes to ensure data security and privacy.
Ensure that data is easily accessible and usable for reporting and visualization in tools such as Tableau, Looker, Meta, or PowerBI.
Collaborate with cross-functional teams to ensure effective data integration and utilization.


Qualifications
Required Qualifications:
3-5+ years of experience in data science, engineering, or analytics roles.
Bachelor’s degree or higher in Computer Science, Engineering, Math, or a related field, or equivalent experience.
Experience with AWS services (e.g., S3, EC2, EMR).
Proficiency in Python and an Object-Oriented programming language.
Strong experience with databases and event-driven data.
Proven ability to handle large data volumes and optimize data flows.
Hands-on problem-solving approach and ability to thrive in complex environments.

Summary
This role offers a competitive salary based on skills and experience, along with the opportunity to work in an exciting and dynamic industry.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.