DESCRIPTION
Our client is an investment company that focuses on investments in hospitality and leisure.
Responsibilities
- Collaborate with cross-functional teams to understand data requirements and design efficient and scalable data solutions
- Develop and implement ETL/ELT solutions using Databricks / Spark and other relevant technologies
- Integrate data from multiple sources, ensuring data quality and accuracy
- Design and optimize data models to support business intelligence and analytics needs
- Work with stakeholders to identify and prioritize data-related initiatives
- Maintain and support existing data pipelines and workflows
- Stay up-to-date with industry trends and best practices in data engineering
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- 3+ years of experience as a Data Engineer
- Databricks
- Python
- ETL/ELT Solutions
- Microsoft Azure
- Spark
- Deltalake
- Upper-Intermediate level of English, both spoken and written (B2+)
- Apache Iceberg would be a plus
- Competitive compensation depending on experience and skills
- Individual career path
- Unlimited access to LinkedIn learning solutions
- Sick leave and regular vacation
- English classes with certified English teachers
- Flexible work hours