Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$93к-137к/год
$87к$110кмедиана$130к
По похожим ролям (48) ~ $110к/год
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У роли четкий фокус на data engineering, актуальный стек AWS и Python и работа над продуктовой платформой; четыре дня в офисе - заметный компромисс по условиям работы.
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Четыре дня в офисеАктуальный стекЧеткий профиль ролиПродуктовая платформа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (Python/AWS): Building scalable data pipelines and file-based data delivery systems for a next-generation data feed platform with an accent on cloud-native architecture, data quality, and enterprise-grade reliability. Focus on designing multi-format delivery through S3, SFTP, and cloud data marketplaces, implementing monitoring and alerting, and migrating legacy products to AWS.
Location: Toronto; hybrid work with in-office collaboration four days per week in most locations
Base salary: $93,200–$136,696 annually; incentive target: 12.5% annually
Company
hirify.global develops data products and a next-generation data feed platform for enterprise clients.
What you will do
Build and maintain Python-based data pipelines on AWS using S3, Lambda, Step Functions, Glue, and ECS.
Design scalable file delivery systems for CSV, Parquet, and JSON through S3, SFTP, and cloud data marketplaces including Snowflake Marketplace.
Implement partitioning, compression, encryption, data-quality validation, monitoring, and alerting for reliable feed delivery.
Migrate legacy feed products to cloud-native AWS architecture and contribute to DevOps practices, CI/CD, and infrastructure as code.
Contribute to web interfaces for feed monitoring and configuration, and participate in code reviews, technical documentation, and production support.
Requirements
Bachelor's degree in computer science or a related field and 5+ years of software or data engineering experience.
Professional experience with Python for data pipelines, ETL processes, and backend services.
Hands-on experience with AWS, Google Cloud Platform, or Azure, including compute, storage, and serverless services for cloud-native data pipelines.
Experience with CSV, Parquet, and JSON data formats and designing reliable data delivery solutions.
Familiarity with SQL, Git, CI/CD, automated testing, and modern development practices.
Nice to have
Experience with Vue.js, React, or other modern JavaScript frameworks.
Familiarity with data governance, metadata management, and data lineage concepts.
Experience in financial services or regulated industries with strict data-quality and SLA requirements.
Culture & Benefits
Hybrid work environment with regular in-person collaboration; most locations follow a four-day in-office model.
Tools and resources for meaningful collaboration with global colleagues.
Additional benefits are available to support flexibility as needs change.
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