aisqlazureetldata modelingdatabricksazure data factorypysparkdata lakehouse
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$90к$119кмедиана$160к
50 в выборке
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
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Хорошая вакансия
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Company hidden предлагает понятную senior-позицию в data engineering, современный стек Azure Lakehouse и хорошие льготы, но зарплата не указана, а часть требований к лидерству выглядит скопированной из вакансии для мобильной разработки.
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Чужие обязанностиЗарплата не указанаСовременный стекСильный соцпакет
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Azure Engineer, SQL and Data Lakehouse (Azure/Data Engineering): Designing and optimizing backend databases, data warehousing solutions, and ETL pipelines for large datasets in Azure environments with an accent on SQL performance, data modeling, and Lakehouse architecture. Focus on building robust data flows, tuning complex database objects, supporting Azure infrastructure, and applying Agentic AI technologies such as Copilot.
Location: Toronto, ON, with a hybrid arrangement requiring 1–3 days per week on-site
Company
hirify.global is a relationship-oriented bank developing modern banking solutions and technology for its clients.
What you will do
Design, develop, and optimize backend databases and data warehousing solutions in Azure cloud environments.
Build and maintain ETL pipelines for datasets exceeding 5TB.
Write and optimize complex SQL queries, stored procedures, functions, and triggers.
Implement data models and Lakehouse architecture using Azure SQL, PySpark, Azure Data Factory, Databricks, and Delta tables.
Troubleshoot database objects, tune performance, and support Azure infrastructure for database and data pipeline solutions.
Collaborate with cross-functional teams, lead complex technical projects, conduct code reviews, and mentor developers.
Requirements
5+ years of experience designing and optimizing backend databases and building ETL pipelines for large datasets.
Strong experience with complex SQL queries, stored procedures, functions, triggers, data modeling, and advanced performance tuning.
Experience with Azure SQL environments, data warehousing, and troubleshooting database performance.
Familiarity with PySpark, Azure Data Factory, Databricks, and Delta tables/Lakehouse architecture.
Experience with technical infrastructure design, application programming, technology roadmaps, and complex projects.
Legal eligibility to work in Canada and a valid work or study permit where applicable are required.
Nice to have
Experience using Agentic AI technologies such as Copilot to improve productivity and develop innovative solutions.
Experience mentoring developers and leading code-review sessions.
Culture & Benefits
Hybrid work environment with flexibility to manage work activities across on-site and remote days.
Competitive salary, incentive pay, banking benefits, and a benefits program.
Defined benefit pension plan, employee share purchase plan, vacation, and wellbeing support.
Paid Purpose Day for personal growth and development.
Inclusive and accessible candidate and workplace experience.
Hiring process
May include an attribute-based assessment and skills tests such as simulation, coding, or French proficiency assessments.
Artificial intelligence tools may be used during recruitment.
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