Senior Data Engineer (Snowflake + AWS)
We are looking for a Senior Data Engineer with strong hands-on experience in Snowflake, AWS, and Python, who can design and support reliable data systems for analytics and data-driven products. You will work closely with engineers, analysts, and data science teams to ensure high-quality, secure, and scalable data pipelines and models.
Responsibilities
- Design and implement scalable data models and database structures in Snowflake to support analytics and reporting use cases
- Develop and maintain data pipelines in Python, ensuring reliability, observability, and maintainability
- Build and operate solutions in AWS (primarily S3, Glue, Lambda) for ingestion, transformation, and orchestration tasks
- Implement Infrastructure as Code using Terraform for repeatable and controlled deployments
- Translate business requirements into clear and usable data models for different stakeholders (analytics, product, business)
- Ensure data quality, availability, and performance through monitoring, troubleshooting, and optimization
- Maintain data security standards, including access control and governance (AWS IAM, Snowflake security best practices)
- Collaborate with the engineering team to establish and follow best practices in data engineering, operations, and documentation
- Support incident resolution and performance tuning (Snowflake optimization, pipeline bottlenecks, cost awareness)
Mandatory skills
- English C1 (strong verbal communication)
- Snowflake + SQL (data modeling, query optimization, performance tuning)
- AWS Cloud experience including: S3, Glue, Lambda, CloudWatch, IAM
- Python (pipeline development, data processing, integrations)
- Terraform (production-grade infrastructure management)
Other valuable skills (nice to have)
- REST API integration (data ingestion and service-to-service communication)
- Apache Airflow (workflow orchestration / scheduling)
- CircleCI (CI/CD pipelines, automation)
- JavaScript
We offer
- Employment according to the Labor Code, including 100% payment of sick leave and vacation
- Medical coverage (DMS)
- Corporate training programs
- Abundant opportunities for self-realization, professional and career growth.
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Senior Data Engineer (Snowflake)
Прямой работодатель WaveAccess( waveaccess.ru )
Тбилиси, Грузия
Миддл
- Сеньор
Аналитика, Data Science, Big Data
- Инженер
- Python
- SQL
- Заказная разработка
24 июля
Удаленная работа
Опыт работы более 5 лет
Работодатель WaveAccess
Короткая ссылка: geekjob.ru/hibI
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Описание вакансии
Senior Data Engineer (Snowflake + AWS)
We are looking for a Senior Data Engineer with strong hands-on experience in Snowflake, AWS, and Python, who can design and support reliable data systems for analytics and data-driven products. You will work closely with engineers, analysts, and data science teams to ensure high-quality, secure, and scalable data pipelines and models.
Responsibilities
- Design and implement scalable data models and database structures in Snowflake to support analytics and reporting use cases
- Develop and maintain data pipelines in Python, ensuring reliability, observability, and maintainability
- Build and operate solutions in AWS (primarily S3, Glue, Lambda) for ingestion, transformation, and orchestration tasks
- Implement Infrastructure as Code using Terraform for repeatable and controlled deployments
- Translate business requirements into clear and usable data models for different stakeholders (analytics, product, business)
- Ensure data quality, availability, and performance through monitoring, troubleshooting, and optimization
- Maintain data security standards, including access control and governance (AWS IAM, Snowflake security best practices)
- Collaborate with the engineering team to establish and follow best practices in data engineering, operations, and documentation
- Support incident resolution and performance tuning (Snowflake optimization, pipeline bottlenecks, cost awareness)
Mandatory skills
- English C1 (strong verbal communication)
- Snowflake + SQL (data modeling, query optimization, performance tuning)
- AWS Cloud experience including: S3, Glue, Lambda, CloudWatch, IAM
- Python (pipeline development, data processing, integrations)
- Terraform (production-grade infrastructure management)
Other valuable skills (nice to have)
- REST API integration (data ingestion and service-to-service communication)
- Apache Airflow (workflow orchestration / scheduling)
- CircleCI (CI/CD pipelines, automation)
- JavaScript
We offer
- Employment according to the Labor Code, including 100% payment of sick leave and vacation
- Medical coverage (DMS)
- Corporate training programs
- Abundant opportunities for self-realization, professional and career growth.
Специализация
Аналитика, Data Science, Big Data
Инженер
Python
SQL
Отрасль и сфера применения
Заказная разработка
Уровень должности
Миддл
Сеньор
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