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Senior Data Engineer
| Company | Samsung |
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| Location | Vancouver, BC, Canada |
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| Salary | $97070 – $144540 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 7+ years of professional experience in Data Engineering with most of them from a product company
- 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
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
Preferred Qualifications
- 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
