Responsibilities
- Developing and implementing data platforms
- Design and build efficient pipelines to get data from different source systems like D365 F&O, CE, SAP and Oracle
- Develop data quality and validation procedures to ensure the accuracy and reliability of data
- Implement data security and privacy measures to ensure compliance with regulations and industry best practices
- Stay up-to-date with the latest Azure and Python technologies and trends and learn and pass relevant Microsoft exams (DP-203: Data Engineering on Microsoft Azure, DP-600 Fabric Analytics Engineer Associate)
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field and at least 3 years of experience
- Knowledge of principles of the Database structures, Data Modelling, ETL and Data Warehousing
- Strong command of the English language to be able to communicate well in our international environment
- Excellent problem-solving and troubleshooting skills
- Strong communication and collaboration abilities
Nice to Have
- Project experience in the Cloud (Azure) with ETL/ELT tools such as Synapse, Azure Data Factory and Databricks
- Experience with CI/CD and DevOps principles
- In-depth knowledge of programming languages such as Python and SQL
Benefits
- Benefits vary per location
Work Arrangement
Remote (Worldwide) — Americas, Europe, Australia, Asia
Additional Information
- Strong command of the English language to be able to communicate well in our international environment
