Position Summary
Join our Research and Analytics team where you’ll be at the forefront of innovation, building scalable data solutions to handle terabytes of data daily.As a Senior Data Engineer, you’ll play a critical role in developing cutting-edge data platforms and products that cater to the unique needs of diverse customer cohorts. You’ll collaborate with cross-functional teams, including data engineering, data science, backend and frontend development, cloud engineering, UX design, and QA, to deliver seamless and impactful data-driven solutions.
If you want to work for one of the most recognized brands in the world and one of the Top 100 Employers in Canada, then please keep reading!
What We Offer:
• Hybrid Work
• Competitive Salary
• RRSP Matching
• Employer Paid Flexible Health Coverage (from day one)
• Employee Purchase Program – discounts!
• Professional Development Opportunities
• Free onsite gym, showers and bike storage room
• Employee Referral Program – we want great talent like you!
Role and Responsibilities
Be responsible for system architecture design and data engineering activities including data ingestion, modelling, processing and data governance
Work with team to improve the data pipeline to process large scale data efficiently
Be a data steward to educate and promote the data importance and data-driven culture.
Be constantly challenged to learn and grow with new technologies, identify and solve complex problems via data
Collaborate with cross-functional teams, including data scientists and business stakeholders
Design and implement data architecture that supports analytical needs and scalability
Implement and maintain cloud-based data solutions for various use cases ranging from batch data processing, near-real time data pipelines and AI/ML solutions
Document systems, workflows, and processing to maintain transparency and knowledge sharing
Skills and Qualifications
7+ years of professional experience in Data Engineering mainly from a product company
Architecture design and development of large-scale data platform and data applications
Experience with large-scale multi-tier cloud applications and environments
Have deep understanding on data engineering principles, hands-on experience of high availability systems and API design
Strong knowledge of SQL (e.g. MySQL, PostgreSQL) and preferably experience with NoSQL databases and data warehouse solution
Extensive experience with AWS services (e.g. EC2, S3, Athena, Lambda, Redshift, EKS, Open Search) or Google Cloud Platform services (e.g. Big Query, Google Analytics)
Good experience with open-source technologies such as Airflow, Superset, Datahub, Great Expectation
Hadoop ecosystem knowledge (e.g. Hadoop, Spark, Kafka, Hive, Presto)
Proficient in at least one programming language and scripting languages (e.g. Python, Scala, Java, Bash)
Good experience with CICD tools such as GitHub Actions
Familiar with Agile/Scrum software development methodologies
BS or MS in Computer Science or equivalent education
Excellent written and verbal communication and presentation skills to effectively communicate information to all levels within the organization
Bonus Skills
DevOps skills: create build & install scripts, terraform, UNIX-based systems management, release management, production monitoring, etc.
AWS/GCP/Azure related certification(s)
Experience with ML/AI engineering, BI engineering work
Experience with mobile Device Management business
The salary range for this role is expected to be between $97,070 to $144,540 and reflects base salary only. Actual pay will be determined based on a number of factors and may vary depending on job-related knowledge, competencies, qualifications, relevant skills and experience.
Samsung is an equal employment opportunity employer. We thank you for your interest in working for Samsung. Only candidates selected for an interview will be contacted.
Please note that we reserve the right to modify or remove job postings at any time.
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