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Senior Data Bricks​/Scala​/Spark Engineering Specialist sur-Richelieu

Job in Saint-Antoine, New Brunswick, E4V, Canada
Listing for: VLink
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Bricks/Scala/Spark Engineering Specialist sur-Richelieu)

Job Title

Senior Data Bricks/Scala/Spark Engineering Specialist

Location

Montreal, QC, Onsite

Employment Type

Contract

Duration

12 Months

Job Description

We're migrating complex on‑prem regulatory reporting pipelines from a legacy ETL + Autosys + SQL + Teradata stack to a modern Databricks + Snowflake platform on Azure. The role is hands‑on: design, implement, test, and reconcile production pipelines feeding regulatory reports under strict parity requirements.

Must-Have Skills
  • Scala / Spark – production experience writing Spark applications in Scala (not just notebooks); comfortable with the Data Frame API, joins, window functions, partitioning, and performance tuning
  • Databricks – Serverless compute, Unity Catalog, Asset Bundles, Databricks CLI
  • SQL – fluency in writing, analyzing and extracting requirements from complex SQL scripts
  • Snowflake – schema design, performance, Spark‑Snowflake connector
  • Azure – ADLS, networking basics, secrets/identity (Entra  / managed identities)
  • Orchestration – Airflow (DAG authoring, sensors, retries, SLAs)
  • CI/CD – Artifactory, Git Hub Actions pipelines: build, sharded test matrices, artifact promotion through dev → QA → UAT → prod
  • Testing – experience in TDD, writing unit tests (Scala Test, Any Flat Spec ) and BDD (Concordion or equivalent)
  • Data quality & reconciliation – building automated parity checks against legacy outputs, drift detection, row‑level reconciliation tooling
  • Large‑scale migrations – proven track record migrating legacy ETL (Autosys/Informatica/etc.) to cloud data platforms, including dependency mapping and cutover planning
  • Modern data engineering practices – medallion architecture (Bronze/Silver/Gold), idempotent pipelines, schema evolution, lineage, observability
Nice-to-Have
  • Financial services / regulatory reporting domain
  • Python (Databricks utilities, tooling)
  • Spec‑driven development workflows (specs → plans → tasks → implementation)
  • Gradle (composite builds) and JVM tooling
Employment Practices

EEO, ADA, FMLA Compliant. VLink is an equal prospect employer committed to fostering an inclusive environment where diversity is celebrated. All qualified applicants will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Employment is contingent upon successful completion of a background check. Applicant information will be handled in accordance with VLink's privacy policy.

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Position Requirements
10+ Years work experience
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