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1 день назад

Senior Snowflake Engineer (AWS)

130 - 160PLN
Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Snowflake Engineer (Snowflake/AWS): Building, maintaining, and optimizing cloud-based data solutions and ETL pipelines on Snowflake within an AWS environment with an accent on data quality, performance, scalability, and cost efficiency. Focus on troubleshooting production issues, administering Snowflake environments, extending data models, and delivering reliable data platforms.

Location: Fully remote from Poland; Wrocław, PL

Salary: PLN 130–160/hour

Company

hirify.global delivers software solutions through its Software Delivery department.

What you will do

  • Develop, maintain, and enhance ETL processes and cloud-based data solutions on Snowflake within AWS.
  • Extend and adjust data models and warehouse structures.
  • Monitor, analyze, and improve data quality across the platform.
  • Administer Snowflake environments, including roles, warehouses, and access management.
  • Investigate and resolve data pipeline and warehouse issues while supporting production operations.
  • Optimize workloads for performance, scalability, cost efficiency, and operational reliability.

Requirements

  • 5+ years of experience in Data Engineering.
  • Strong hands-on experience with Snowflake in AWS environments.
  • Advanced SQL and solid Python programming experience.
  • Proven experience developing, maintaining, and optimizing data pipelines.
  • Strong troubleshooting and problem-solving skills.
  • Experience with performance tuning and cost optimization.
  • Knowledge of data warehousing concepts and data modeling.
  • Ability to work effectively in production support and enhancement activities.

Nice to have

  • Experience with Azure services such as Databricks, Synapse, or Fabric.
  • Familiarity with Apache Spark.
  • Experience with CI/CD practices and tools.
  • Knowledge of data governance and data quality frameworks.
  • Experience using AI tools in day-to-day workflow.

Culture & Benefits

  • Fully remote work arrangement within Poland.
  • Collaboration with data engineering teams and stakeholders on reliable data solutions.
  • Focus on operational excellence and continuous improvement within the data platform ecosystem.

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