Senior Data Engineer

Key Skills

3D data processing, Amazon Athena, Amazon Elastic Compute Cloud-EC2, Amazon Simple Storage Service (S3), Apache Flink, Apache Hadoop, Apache Hive, Apache Kafka, Bash scripting, Big Data Technology, CircleCI, Data Engineering, Data Governance, Data Modeling, Design, DevOps, Effective communication skills, Google Analytics, Google Cloud Platform (GCP), Java Programming, Lambda, MySQL, NoSQL, Planning and organization, PostgreSQL, Presto, Python Programming, Scala Programming, Scrum Agile Methodology, SPARK Programming, SQL, Tableau, Writing

Job Description

Our Samsung Research Vancouver team handles a high volume of data generated by Samsung’s cloud services and mobile devices. The team is responsible for turning this data into actionable insights which allows our stakeholders to make data-driven decisions and create value to our business, customers and partners. 

We are looking for a Senior Data Engineer who is passionate about big data technology and delivering data solutions to handle TB scale data per day and help the business meet the distinct needs of different customer cohorts.

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

• Responsible for data engineering activities including data ingestion, data modelling, data processing 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 the key stakeholders, product owners, external vendors to define solutions for business and technical requirements
• Be responsible for system architecture design and data engineering activities including data ingestion, data modelling, data processing and data governance
• Work as a technical expert and strategic thought leader to the data platform by providing architectural leadership
• Lead, participate, guide and mentor other team members on architecture and design with hands on.

Skills and Qualifications

• 6+ years of professional experience in software and big data from a product company
• Architecture design and development of large-scale data platform and data application with simple solutions
• Experience on 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 (MySQL, PostgreSQL) and preferably experience with NoSQL databases
• Extensive experience with various AWS services (e.g. EC2, S3, Athena, Lambda, Kinesis Firehose, Redshift)
• Experience with Airflow, EKS, EMR, Redshift, Kubernetes
• Good Hadoop ecosystem knowledge (e.g. Hadoop, Spark, Kafka, Hive, Presto)
• Proficient in at least one programming language and scripting languages (Python, Java, Scala, Bash)
• Experience with CICD tools such as Git Actions and CircleCI
• 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.
• Experience with GCP, Google Analytics and Superset
• Experience with Tableau data source and dashboard creation
• Experience with Health or IOT or Mobile Device Management business

The salary range for this role is expected to be between $105,000 to $140,000 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.

The total rewards package for a Regular Full-Time employee may include variable incentive, savings matching (RRSP/TFSA/NRSP), extended health and dental benefits with spending accounts, wellness and well-being benefits, development opportunities, and other employee perks.

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.