Offer summary
Qualifications:
Master's in Big Data or Computer Engineering with a passion for data, Database management mastery (SQL, NoSQL), knowledge of Big Data Stack (Airflow, Spark, Hadoop), experience with development collaboration tools (GIT, GITLAB, Jupyter Notebooks), familiarity with AWS (Lambda, EMR, S3), keen interest in innovative technologies.
Key responsabilities:
- Maintenance and optimization of the Datalake, creation and update of data flows, documentation and validation of flows, implementation of reporting tools like Power BI
- Contributing to data strategy definition, constructing Data Lake worldwide, managing end-to-end client projects from data collection to deployment, organizing data extraction, transformation, loading ensuring accuracy, etc.