Data Engineer Data Analytics / Data Warehousing (m/f/d)

REFERENCE NUMBER:

598906/1

MY DUTIES:

- Assist in defining, managing, and documenting data analytics platform requirements
- Design, develop, implement, and document data warehouses that support data analysis requirements and adhere to performance and availability standards
- Design, develop, implement, and document data pipelines to acquire, prepare, and store data in the data warehouse using data engineering standard (ETL/ELT)
- Design, develop, implement, and document the data delivery layer upon which the analysis tools and user interface are built to view and generate reports in real time
- Design test cases, create test scripts and test data, perform system integration testing, and automate the deployment process
- Design, develop, implement, and document monitoring and alerting checks for data pipelines
- Perform routine data quality checks and cleanups
- Collaborate on review work with others

MY QUALIFICATIONS:

- Google Cloud Platform, Terraform, GitLab
- Kubernetes, Docker, Airflow, DBT, Dataflow , Data Hub
- BigQuery, BigTable
- Python, SQL
- Power BI

MY BENEFITS:

- Extension and following projects possible

ABOUT HAYS:

IT specialists hold all the cards: for its customers in industry and the public sector, Hays is looking for motivated employees who like looking at the bigger picture and growing with new challenges. We make sure that you benefit from our many years of experience in IT recruitment and will find you the right role to suit your skills and interests – all completely free of charge to you. Register with us and reap the benefits of job offers that are both interesting and relevant to your skills and experience.

MY CONTACT AT HAYS:

My contact person
Eva Franziska Radomski

Reference number
598906/1

Contact
E-Mail: [email protected]