2 дня назад
Middle/Senior Python Software Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Middle/Senior Python Software Engineer (Python/data and ML platforms): Building scalable data and ML platform capabilities, ingestion pipelines, transformation frameworks, and cloud infrastructure with an accent on Python, Airflow, Terraform, and cloud-native services. Focus on implementing infrastructure as code, developing DBT-based transformations, and ensuring reliable, secure, and observable data and ML operations.
Location: Ukraine; remote or office work
Company
provides engineering and technology services focused on software development and data and machine learning platforms.
What you will do
- Design and develop scalable data and platform capabilities using Python, DBT, and cloud-native services.
- Build and maintain reliable data ingestion pipelines and transformation frameworks for analytics and machine learning workloads.
- Implement monitoring, governance controls, and ML infrastructure components to improve platform reliability, security, and performance.
- Provision and manage cloud resources across multiple environments using Terraform and established architecture patterns.
- Collaborate with data engineers, ML engineers, and platform teams on the development, deployment, and monitoring of data and machine learning solutions.
- Troubleshoot pipeline and platform issues, identify root causes, and contribute to technical design decisions and engineering standards.
Requirements
- Strong Python development skills, including asynchronous programming and frameworks such as FastAPI and aiohttp.
- Practical experience with SQL and relational data.
- Hands-on experience developing and orchestrating ETL pipelines with Apache Airflow.
- Practical experience with infrastructure as code using Terraform.
- Experience with AWS or Azure for building and deploying data-driven services.
- Foundational understanding of machine learning concepts and how ML models are developed and used in applications.
Nice to have
- Familiarity with the Snowflake cloud data platform for data warehousing and analytics.
Culture & Benefits
- Remote or office work options are available.
- Work with cross-functional engineering teams supporting a leading UK retail client serving millions of customers.
- Contribute to shared data and machine learning platform environments and engineering standards.
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