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