Data Solutions Specialist
Role Overview
Build data services for a migration and modernization platform and demonstrate ingestion, processing, and consumption within a strictly isolated network.
Work independently against a defined architecture as a subject matter expert and contribute to team decisions in the area of responsibility.
Key Skills for This Role
Full Job Posting
About the role
Build data services for a migration and modernization platform and demonstrate ingestion, processing, and consumption within a strictly isolated network.
Work independently against a defined architecture as a subject matter expert and contribute to team decisions in the area of responsibility.
What you will do
- Deploy and configure database, streaming, and processing components.
- Build scheduled and event-driven ingestion pipelines, including change data capture where needed.
- Transform raw data into curated datasets for analytical use and implement automated data quality validation.
- Register metadata, lineage, and access in the catalogue and enable analyst and data science access.
- Collaborate with platform and DevOps consultants on infrastructure-as-code and pipeline deployment practices.
- Work with the Lead Enterprise Architect on data modeling and ontology for the priority domain.
- Understand business objectives, build end-to-end data solutions, and optimize pipeline performance.
- Use sound coding practices, report status, and help project leads resolve blockers.
What you need
- At least 5 years designing or maintaining data pipelines, transformations, medallion-layer solutions, or data models.
- Experience as a data engineer building scalable data platforms.
- Experience with at least one leading cloud provider or open-source technologies such as Spark, Kafka, Presto, Hive, or Cassandra.
- Experience with two of Java, Scala, and Python.
- Bachelor's degree or completed college program in computer science or a related field.
- Advanced proficiency in data architecture and pipeline implementation is required; advanced streaming architecture proficiency is recommended.
- English is required for regular interaction with stakeholders across Canada, the United States, and other countries.
Bonus qualifications
- Production implementation and real-time analytics experience are bonuses, as is experience with both batch and stream processing.
- Machine learning experience with Spark or similar is a bonus.
- Cloud Data Engineer or Data Solution Architect certification is a bonus; Secret Clearance eligibility is preferred.
- Ability to manage concurrent requests, prioritize, and deliver is listed as a bonus.
Work arrangement
- The role is hybrid.
Compensation
- The listed annual salary range is $75,400 to $125,400 for British Columbia, Ontario, and New Brunswick; compensation varies by location, role, skills, and experience.
- The recruiting effort is intended to fill a brand-new position.
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