Senior Data Engineer (Snowflake)

New
I
ItransitionData Engineering
Wrocław, Powstańców Śląskich 15, Warszawa, Al. Jerozolimskie 123A, Wrocław, Country code: PLFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English B2 proficiency
Experience
5+ years
Required Skills
PythonSQLSnowflakeAzureCI/CDTerraformdbtGitHub

Requirements

  • 5+ years of experience as a Data Engineer or in a similar role.
  • Advanced SQL skills with experience designing and optimizing analytical data models.
  • Strong Python programming skills for data engineering and automation.
  • Hands-on experience with Snowflake.
  • Experience with dbt for data transformation and testing.
  • Experience building data quality, validation, and testing frameworks.
  • Experience implementing automated monitoring and alerting for data platforms.
  • Experience integrating data testing into CI/CD pipelines using GitHub or similar tools.
  • Experience with workflow orchestration tools such as Dagster, Airflow, or similar.
  • Understanding of Infrastructure as Code (IaC) principles and tools such as Terraform.
  • Experience working with modern cloud-based data platforms.
  • English proficiency sufficient to work in an international environment.

Responsibilities

  • Design and implement data quality, validation, and integrity frameworks across the data platform.
  • Develop and optimize analytical data models in Snowflake.
  • Build and maintain data pipelines using Python and SQL.
  • Implement automated testing, monitoring, and alerting for data pipelines and transformations.
  • Integrate data quality checks into CI/CD workflows using GitHub and dbt.
  • Configure and maintain data orchestration workflows using Dagster.
  • Define and implement data quality standards, testing strategies, and operational best practices.
  • Improve platform reliability, scalability, performance, and cost efficiency.
  • Collaborate with analytics, product, and engineering teams to deliver high-quality data solutions.
  • Contribute to the continuous evolution of the organization's data platform.
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