8 часов назад
Senior Data Engineering
100 000 - 146 300CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineering (Snowflake/Python/SQL): Building and maintaining enterprise data pipelines, analytical datasets, and processing frameworks with an accent on Snowflake, data quality, automation, and scalable self-service analytics. Focus on optimizing warehouse costs, engineering reliable ingestion and transformation workflows, and translating technical data designs into business-ready solutions.
Location: Toronto, ON, Canada; flexible European working hours may be required. In-person onboarding and/or identity verification may be required.
Salary: CAD 100,000–146,300 annual base salary for Canada-based roles; offers may exceed this range.
Company
develops software that helps create buildings, cars, factories, and films.
What you will do
- Design, develop, test, and maintain data pipelines for extracting, transforming, cleaning, aggregating, and loading data into Snowflake and Hive.
- Build scalable analytical datasets and data-processing framework components in coordination with data analysts and stakeholders.
- Optimize workflows, ETL processes, warehouse usage, and Snowflake costs.
- Develop data-quality, durability, monitoring, automation, CI/CD, and self-service mechanisms.
- Create tools for analytics and BI teams and support downstream data consumers with reliable data assets.
- Evaluate data technologies and translate technical designs and business requirements into effective data services.
Requirements
- Bachelor’s degree in computer science, information systems, or a related discipline.
- 5+ years of experience as a data engineer.
- Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, and Snowflake cost optimization.
- Strong programming skills in Python and SQL, with experience building modular and maintainable code.
- Experience with Airflow, dbt, Git, and big-data technologies such as Hive, Spark, and Presto.
- Strong analytical, problem-solving, interpersonal, organizational, and Scrum skills, plus basic knowledge of LLMs and AI development tools such as GitHub Copilot.
Nice to have
- Experience with CI/CD and Jenkins.
- Basic knowledge of Power BI and AWS services such as S3, Lambda, Glue, and CloudWatch.
- Experience working with remote teams across multiple time zones.
- Self-guided learning ability and strong attention to detail.
Culture & Benefits
- Work focused on trusted data assets, scalable self-service analytics, and data-driven decision-making.
- Comprehensive benefits package.
- Potential annual cash bonuses and stock grants, depending on the role and offer.
- Culture centered on belonging and meaningful work.
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