Intermediate Data Engineer

Samsung Electronics America; Vancouver; On-site; USD 86,000 - 129,000; Full time

Job summary

An established industry player is seeking a passionate Data Engineer to join their innovative team in Vancouver. This role involves designing data architectures and solutions to handle massive data volumes, collaborating with diverse teams, and driving a data-driven culture. The ideal candidate will have extensive experience in data engineering, cloud services, and a strong understanding of data governance. If you're eager to tackle complex challenges and contribute to impactful data solutions, this opportunity is perfect for you. Join a recognized brand and be part of a dynamic, supportive work environment that fosters growth and creativity.

Benefits

Hybrid Work

Competitive Salary

Employer Paid Flexible Health Coverage

Employee Purchase Program

Free onsite gym

Qualifications

• 5+ years in Data Engineering with experience in product companies.
• Strong knowledge of SQL and cloud services like AWS and GCP.

Responsibilities

• Design and implement data architecture for analytical needs.
• Collaborate with cross-functional teams to improve data pipelines.

Skills

Data Engineering

SQL

Python

Cloud Services (AWS, GCP)

Data Governance

Data Modeling

API Design

Agile/Scrum

Education

BS in Computer Science

MS in Computer Science

Tools

AWS (EC2, S3, Lambda)

Google Cloud Platform (Big Query)

Hadoop Ecosystem (Spark, Kafka)

GitHub Actions

Airflow

Job description

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 Data Engineer for a 14-month maternity leave coverage, 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. The member will work closely with our data engineering, data science, backend and frontend, cloud engineering, UX design, and QA teams to develop data platforms and data products.

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
• Employer Paid Flexible Health Coverage (from day one)
• Employee Purchase Program – discounts!
• Free onsite gym, showers and bike storage room

What You’ll Do

• Be responsible for system architecture design and data engineering activities including data ingestion, modelling, processing and data governance
• Work with the 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

Role and Responsibilities

• 5+ 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
• Experience on large-scale multi-tier cloud applications and environments
• Have a deep understanding of 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 solutions
• Working 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)
• 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)
• 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 $86,100 to $128,150 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.