Lead Azure Data Engineer
Olsys
- Monaco
- CDI
- Temps-plein
- Design, build, and maintain data pipelines using company standard technologies
- Understand and be able to manage cloud-based data technologies and applications
- Assist with renovating the data management infrastructure to drive automation in data integration and management
- work with data architects and data services team members to refine data requirements for various data and analytics initiatives
- Develop data ingestion, preparation, and integration code
- Create algorithms to convert data into actionable, useful information
- Prepare refined data to be used by data scientists
- Create clear and maintainable ETL code
- Investigate ways to increase data reliability, efficiency, and quality
- Enable advanced analytics, AI/machine learning, and statistical methods
- Collaborate well with business process experts, software engineers, QAs, delivery leads, product owners, and other relevant stakeholders
- Work with the Data Services team to follow and maintain company practices and security requirements in the data space
- Experience in data engineering or a related field
- Advanced analytical skills and attention to detail
- Able and willing to collaborate in a team environment and exercise independent judgment
- Excellent verbal and written communication skills
- Knowledge of analytic technologies including machine learning, AI and integration technologies
- Good knowledge of Azure capabilities (Data Factory, Databricks, Data Lake, Azure Functions, etc.), SQL, Python, relational and non-relational Data Stores
- Familiarity with data virtualization technologies
- SAP experience helpful
- Knowledge and experience using Azure DevOps or comparable tools for code and release management
- Strong problem-solving skills and using innovation to find solutions
- Experience in integrating complex processes and information strategies, and/or designing strategic metrics and scorecards.
- Agricultural industry experience is desirable, but not required.
- A role that offers a breadth of learning opportunities
- Flexible working options