Senior Data Engineer

Requirements: Experience with designing OLAP systems and applying techniques such as STAR schema and denormalization Proficiency in Python and PL/SQL development Experience with ELT/ETL development using GUI-based tools such as IBM DataStage, Azure Data Factory (ADF), Stitch, and Matillion Knowledge of database management systems including Oracle, MS SQL Server, and Snowflake Understanding of DevOps and CI/CD practices, including Git, Docker, Kubernetes, Terraform, and CI/CD tools such as Jenkins, Bamboo, and Azure DevOps Experience with test automation tools such as Robot Framework and Selenium, including knowledge of different test scenarios Knowledge of version control systems including Git, GitHub, and GitLab Experience with workflow orchestration tools such as Airflow and Prefect Knowledge of streaming and batch processing concepts, including Kafka Very good command of English, both spoken and written Offer: Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program ,[Design, build and maintain scalable ELT pipeline , Develop and optimize PLSQL queries and database objects for high performance data storage in Oracle , Write python-based data engineering scripts to process data , Implement CI/CD pipelines for data infrastructure and workflow automation , Understand and have experience of database change management , Work one or more of the major cloud vendor , Integrate and manage modern data stack , Monitor, debug and optimize data workflows and infrastructure performance , Ensure data quality, governance, and compliance with good practices ] Requirements: Data engineering, Cloud, OLAP, Python, PL/SQL, ETL, IBM DataStage, Azure Data Factory, Oracle, MS SQL Server, Snowflake, DevOps, Git, Docker, Kubernetes, Terraform, Jenkins, Bamboo, Azure DevOps, Test automation, Robot Framework, GitHub, GitLab, Airflow, Kafka Additionally: Sport Subscription, Private healthcare, Employee referral bonus.