16.05.2025 | Pełny etat | Rzeszów | EdvantisDocker images Familiarity with CI/CD tools and approaches Working knowledge of Microsoft Azure (especially Blob Storage) Experience in version control (Git), continuous integration, and automated testing frameworks Experience working with Jupyter notebooks for prototyping, data exploration, and model
Zobacz później15.05.2025 | Pełny etat | Rzeszów | Limango PolskaLakehouse Data Platform built on AWS and Databricks. Manage and evolve data infrastructure (Terraform on AWS - Databricks) and ETL pipelines (PySpark, Delta Live Tables, SparkSQL). Implement monitoring, data quality testing, unit tests, and automated alerting within the platform. Refactor legacy AWS
Zobacz później15.05.2025 | Pełny etat | Rzeszów | Limango PolskaLakehouse Data Platform built on AWS and Databricks. Manage and evolve data infrastructure (Terraform on AWS - Databricks) and ETL pipelines (PySpark, Delta Live Tables, SparkSQL). Implement monitoring, data quality testing, unit tests, and automated alerting within the platform. Refactor legacy AWS
Zobacz później15.05.2025 | Pełny etat | Rzeszów | Limango PolskaLakehouse Data Platform built on AWS and Databricks. Manage and evolve data infrastructure (Terraform on AWS - Databricks) and ETL pipelines (PySpark, Delta Live Tables, SparkSQL). Implement monitoring, data quality testing, unit tests, and automated alerting within the platform. Refactor legacy AWS
Zobacz później15.05.2025 | Pełny etat | Rzeszów | Limango PolskaInfrastructure (Terraform on AWS - Databricks) and ETL pipelines (PySpark, Delta Live Tables, SparkSQL). Implement monitoring, data quality testing, unit tests, and automated alerting within the platform. Refactor legacy AWS solutions (e.G., Glue, Redshift) into a modern, CI/CD-deployed Lakehouse environment
Zobacz później14.05.2025 | Pełny etat | Rzeszów | Limango PolskaInfrastructure (Terraform on AWS - Databricks) and ETL pipelines (PySpark, Delta Live Tables, SparkSQL). Implement monitoring, data quality testing, unit tests, and automated alerting within the platform. Refactor legacy AWS solutions (e.G., Glue, Redshift) into a modern, CI/CD-deployed Lakehouse environment
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