Position Summary
Samsung Research in Vancouver has taken a leadership role in big data. The data team in Vancouver handles massive amounts of data generated by Samsung’s cloud services and mobile devices. The team is responsible for turning this data into actionable insights that allows our customers to make data-driven decisions and create values to their business.
Why We Want You
The Research and Analytics team in Vancouver is looking for a Senior Data Engineer who is passionate on big data technology and delivering data solution to handle TB scale data per day and help the business meeting the distinct needs of different customer cohorts. The member will work closely with our data engineering, data science, backend and frontend, cloud engineering, UX design, and QA teams to develop data platform and data products.
What You’ll Do
• 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
**This position may be a Full Time employment or a Contractor role**
Role and Responsibilities
- 7+ years of professional experience in Data Engineering with most of them from a product company
- Architecture design and development of large-scale data platform and data applications
- Good 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
- Good 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 or GCP or Azure related certification
- Experience with ML/AI engineering, BI engineering work
- Experience with mobile Device Management business
Skills and Qualifications
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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