- Страна
- Канада
- Зарплата
- 90 000 $ – 125 000 $
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Data Engineer
Сильная вакансия в известном цифровом консалтинге с прозрачным диапазоном зарплаты и отличным социальным пакетом. Использование передового стека технологий (Azure Fabric, dbt) делает позицию привлекательной для профессионального роста.
Сложность вакансии
Роль требует глубоких знаний современных облачных платформ (Azure Fabric, Snowflake) и инструментов трансформации данных (dbt). Необходим опыт работы с Big Data (Spark) и понимание сложных архитектурных паттернов, таких как Medallion и Data Vault.
Анализ зарплаты
Предлагаемая зарплата в $90,000 – $125,000 CAD соответствует рыночным стандартам для Data Engineer уровня Middle/Senior в Торонто. Верхняя граница диапазона конкурентоспособна для специалистов с глубоким знанием Azure и Databricks.
Сопроводительное письмо
I am writing to express my strong interest in the Data Engineer position at Konrad. With over three years of experience in designing and maintaining robust data pipelines, I have developed a deep proficiency in Azure Fabric, Databricks, and Snowflake, which aligns perfectly with your current technology stack. My background in implementing medallion architectures and optimizing ETL/ELT processes using dbt has consistently resulted in high-performance data models that drive operational decision-making.
What excites me most about Konrad is your commitment to solving complex business problems through innovation and a culture of continuous learning. I am particularly impressed by your focus on production-grade data solutions and real-time ingestion frameworks. Having worked extensively with Spark and Python to build scalable architectures, I am confident in my ability to contribute to your platform team and deliver tailored solutions that meet the needs of your global clients.
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Описание вакансии
Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About The Role
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.
What You’ll Do
- Design, build, and manage robust data pipelines and data architectures.
- Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows, ensuring reliability, scalability, and performance.
- Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance data quality and analytics capabilities.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- At least 3 years of professional experience as a Data Engineer or similar role.
- Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
- Excellent analytical, troubleshooting, and problem-solving skills.
- Strong understanding of data modeling concepts including medallion architecture, data vault, grain, fact tables, dimensions, and schema design.
- Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools.
- Experience building production-grade data models with optimized performance supporting operational decision-making.
- Experience designing batch and real-time ingestion frameworks with real-time monitoring
- Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Nice to have
- Certifications related to Azure Data Engineering, Databricks, or Snowflake.
- Familiarity with DevOps practices and CI/CD pipelines.
Perks and Benefits
- Comprehensive Health & Wellness Benefits Package
- Retirement Planning
- Parental Leave Program
- Flexible Working Hours
- Work from Home Flexibility
- Service Recognition Programs
- Socials, Outings & Retreats
- Culture of Learning & Development
Bonus Points
Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $90,000 to $125,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
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Навыки
- Azure Fabric
- Databricks
- Snowflake
- SQL
- Python
- Spark
- Hadoop
- Kafka
- dbt
- ETL
- ELT
- Data Modeling
- DevOps
- CI/CD
Возможные вопросы на собеседовании
Проверка практического опыта работы с ключевым стеком компании.
Расскажите о вашем опыте внедрения Medallion-архитектуры в Azure Fabric или Databricks. С какими сложностями вы столкнулись?
Оценка навыков оптимизации производительности и стоимости облачных решений.
Как вы подходите к оптимизации производительности dbt-моделей при работе с большими объемами данных в Snowflake?
Проверка навыков работы с потоковыми данными, упомянутыми в вакансии.
Опишите ваш опыт проектирования фреймворков для инжестирования данных в реальном времени. Какие инструменты мониторинга вы использовали?
Оценка архитектурного мышления и понимания моделирования.
В каких случаях вы бы предпочли архитектуру Data Vault классической схеме «звезда»? Обоснуйте свой выбор.
Проверка soft skills и умения взаимодействовать с бизнесом.
Как вы объясняете технические ограничения архитектуры данных нетехническим стейкхолдерам при сборе требований?
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- Страна
- Канада
- Зарплата
- 90 000 $ – 125 000 $