Senior Data Engineer

Samsung Electronics; Vancouver; On-site; USD 97,000 - 145,000; Full time

Job summary

An innovative firm is seeking a Senior Data Engineer to join their Digital Health Analytics team in Vancouver. This role focuses on developing large-scale data applications and optimizing data pipelines to handle massive datasets. The ideal candidate will have extensive experience in data engineering, cloud applications, and a strong command of SQL and AWS services. You'll work closely with cross-functional teams to drive data-driven solutions and promote a data-centric culture. Join this forward-thinking company and contribute to impactful data solutions that cater to diverse customer needs.

Qualifications

• 7+ years in software and big data, developing large-scale data pipelines.
• Strong knowledge of SQL and experience with NoSQL databases.

Responsibilities

• Responsible for data engineering activities including ingestion and processing.
• Collaborate with stakeholders to define solutions for business requirements.

Skills

Data Engineering

ETL Development

SQL (MySQL, PostgreSQL)

AWS Services

Python

CI/CD Tools

Agile/Scrum

Education

BSc in Computer Science

MSc in Computer Science

Tools

AWS EC2

AWS S3

AWS Redshift

Airflow

Kubernetes

Tableau

Job description

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Position Summary

The Digital Health Analytics team in Vancouver is looking for a Senior Data Engineer who is passionate about big data technology and delivering data solutions to handle TB-scale data daily and help the business meet the distinct needs of different customer cohorts. The data engineers work closely with data analysts, data scientists, operations/platform teams, and business strategy teams to design, build, and deliver large-scale data applications.

This position may be a Full-Time employment or a Contractor role

Role And Responsibilities

1. About the Role
2. Be responsible for data engineering activities including data ingestion, data modelling, data processing, and data governance.
3. Improve the data pipeline to process large-scale data efficiently.
4. Be a data steward to educate and promote the importance of data and a data-driven culture.
5. Continuously learn and grow with new technologies, and identify and solve complex data problems.
6. Collaborate with stakeholders, product owners, and external vendors to define solutions for business and technical requirements.
7. Lead, participate, guide, and mentor team members on data processing design and implementation best practices.

About You

1. 7+ years of professional experience in software and big data, preferably from a product company.
2. Experience developing large-scale data processing pipelines and implementing ETL using modern tools and best practices.
3. Experience with large-scale multi-tier cloud applications and environments.
4. Deep understanding of data engineering principles and hands-on experience with large-scale analytics systems.
5. Strong knowledge of SQL (MySQL, PostgreSQL) and preferably experience with NoSQL databases.
6. Extensive experience with AWS services such as EC2, S3, Athena, Lambda, Kinesis Firehose, Redshift.
7. Experience with Airflow, EKS, EMR, Redshift, Kubernetes.
8. Good knowledge of Hadoop ecosystem components like Spark, Kafka, Hive, Presto.
9. Proficient in at least one programming or scripting language (Python, Java, Scala, Bash).
10. Experience with CI/CD tools such as Github Actions and CircleCI.
11. Familiar with Agile/Scrum methodologies.
12. BSc or MSc in Computer Science or equivalent.
13. Excellent communication and presentation skills.

Bonus Skills

1. DevOps skills including scripting, terraform, UNIX systems, release management, and production monitoring.
2. Experience creating visualizations and dashboards with tools like Tableau or Apache Superset.
3. Experience in Health, IoT, or Mobile Device Management domains.
4. Knowledge of Lakehouse architectures and table formats like Apache Iceberg, Hudi, or Delta Lake.
5. Operational experience tuning and debugging large Spark jobs.

Skills And Qualifications

The salary range for this role is expected to be between $97,070 and $144,540, reflecting base salary only. Actual pay depends on various factors including experience, skills, and qualifications.

Samsung is an equal opportunity employer. Only shortlisted candidates will be contacted. We reserve the right to modify or remove job postings at any time.