Data Engineer

19 hours ago


Remote, Czech Republic AVENGA Full time
  • Snowflake – Experience in designing, implementing, and optimizing Data Products within Snowflake, including schema design, data ingestion, and performance tuning.
  • SQL – Strong proficiency in writing and optimizing complex queries for data processing, analysis, and transformation.
  • ETL Pipelines – Hands-on experience with building and maintaining ETL/ELT workflows, ensuring efficient data extraction, transformation, and loading processes.
  • Talend – Knowledge of Talend for data integration, transformation, and automation.
  • GitLab – Familiarity with version control, CI/CD pipelines, and collaborative development workflows.
  • Immuta – Understanding of data governance, security, and access control in data environments.
  • Monte Carlo – Experience with data observability, ensuring data quality, monitoring, and lineage tracking.
  • English proficiency
,[Assist the App Backup and Recovery and Data Lifecycle Management teams in creating a Data Product within Snowflake to store and provide insights into backup platform status, application protection, and restore results., Design, implement, and document ETL pipelines to extract and process data from internal repositories (databases) into Snowflake tables., Support the Data Product in becoming self-sufficient, ensuring the team can manage essential tasks independently without external support., Prepare data for visualization tools such as Tableau or Thoughtspot, ensuring seamless integration with dashboards.] Requirements: Python, Snowflake, SQL, ETL Additionally: Sport subscription, Training budget, Private healthcare, International projects.

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