Senior Data Engineer

Responsibilities:

• 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:

• 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