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8 дней назад

Consultant, Application Developer (Data Engineer) (Azure Databricks)

Формат работы
onsite/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Consultant, Application Developer (Data Engineer) (Azure Databricks): Building and delivering enterprise-scale data pipelines, reusable frameworks, and governed lakehouse products with an accent on Azure Databricks, Spark/PySpark, Delta Lake, batch and streaming ingestion. Focus on designing production-grade data solutions, implementing automated testing and CI/CD, optimizing platform performance, and resolving complex production issues.

Location: Toronto, ON; full-time on-site work is required for successful performance, with a hybrid arrangement involving 1–3 days per week on-site and the remaining days remote.

Company

hirify.global is a relationship-oriented bank focused on delivering modern financial services and enterprise technology solutions.

What you will do

  • Lead the end-to-end technical design and delivery of enterprise data pipelines, reusable frameworks, and governed data products on Azure Databricks.
  • Architect, build, test, deploy, and support production-grade batch and streaming pipelines using Spark/PySpark, SQL, Delta Lake, Auto Loader, Structured Streaming, and Lakeflow.
  • Define engineering standards covering code quality, testing, version control, deployment, documentation, security, monitoring, and supportability.
  • Establish automated testing and CI/CD practices for repeatable promotion across development, test, and production environments.
  • Lead impact analysis and design reviews, make technical decisions, optimize platform cost and performance, and resolve complex production issues.
  • Partner with architecture, governance, security, business, delivery, data-owner, client, and vendor stakeholders.

Requirements

  • 5–8 years of progressive data engineering experience, including technical leadership of data solutions.
  • Recent hands-on experience delivering and supporting production-grade Databricks and Spark pipelines.
  • Strong expertise in governed lakehouse solutions, Delta Lake, Unity Catalog, batch and streaming ingestion, orchestration, monitoring, and performance optimization.
  • Experience implementing automated testing and CI/CD for Databricks workloads across multiple environments.
  • Knowledge of Azure data services, enterprise production support, Agile delivery, and modernization from legacy ETL platforms such as Informatica.
  • Computer Science degree or a related field; must be legally eligible to work in Canada and hold a valid work or study permit where applicable.

Culture & Benefits

  • Competitive salary and incentive pay.
  • Banking benefits, a benefits program, defined benefit pension plan, and employee share purchase plan.
  • Vacation offering, wellbeing support, and a social points-based recognition program.
  • Professional growth opportunities and a paid Purpose Day for personal development.
  • Inclusive and accessible candidate and employee experience.

Hiring process

  • Possible attribute-based assessments and skills tests, including simulation, coding, or French proficiency assessments.
  • Artificial intelligence tools may be used during the recruitment process.

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