Data Engineer SAS (Work from Home)

Drive innovation in cybersecurity, software development, and big data technology as part of our award-winning IT team. You can play a critical role as part of a global agile team for Bell Canada, Canada’s largest telco, media, and tech company. 

We know our success is fueled by our people, so we empower our Qmunity and provide a workplace where you can flourish and grow. We offer premium benefits, including: 

• Home-based setup 
• Miscellaneous allowances, performance-based bonus, and yearly increase 
• HMO from day 1 for you + 2 free dependents 
• 6 months paid maternity/paternity leave 
• Company-sponsored training and upskilling, and career growth opportunities! 

• Support SAS processes within the BI360 production environment

• Support and troubleshoot technical problems within the BI360 Environment

• Share technical expertise with team and provide recommendations for best practices.
• Support production processes within BI teams
• Support outages, delays & major deployments within the BI environment

• University Degree in Software/Computer Engineering, Computer Science
• 4 plus years of industry experience working with complex ETLs and relational databases.
• Solid hands-on experience with technologies such as Teradata, SAS Enterprise Guide, SAS Data Integration Studio and IBM LSF is required
• Advanced knowledge and experience with SQL and relational databases such as Teradata, ORACLE, SQL Server
• Basic knowledge working with UNIX environment
• Demonstrated strong analytical and problem-solving skills
• Able to troubleshoot code written by other people, including understanding the business logic implemented and ensuring the code is optimal.
• Able to prioritize, multitask and execute tasks in a high-pressure environment.
• Strong verbal and written communication skills is required.
• Collaborative spirit to share learnings and knowledge with peers.
• Excellent communication skills
• Proficient in MS Applications
• Able to work in a night shift and flexible schedule.

Nice to have:

• Micro strategy
• Understanding Big Query and GCP

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