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Senior Data Engineer (Snowflake)

Формат работы
remote (только Georgia)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Georgia
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Описание вакансии

TL;DR
Senior Data Engineer (Snowflake/AWS): Designing and supporting reliable data systems, scalable data models, and Python data pipelines for analytics and data-driven products with an accent on Snowflake, AWS infrastructure, data quality, security, and performance. Focus on building observable pipelines, implementing Terraform-based deployments, optimizing Snowflake workloads, and resolving operational incidents.

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 Откликнуться 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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