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Seniority
Senior · 5+ years exp
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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

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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Вакансии от"WaveAccess"

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window.Vacancy = {"id":"6a639c91282b269138042717","ci":"6141dfcbc969006fd646d6a7","ic":"613a02ecd1357f1e7546e75b","lang":"en","position":"Senior Data Engineer (Snowflake)

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