Unlock your career potential in data engineering with this exciting role
* We believe that people make the difference, and we live a culture of unlimited learning full of opportunities for growth and development.
Data Engineering Role
* Design and implement a serverless architecture to efficiently handle large volumes of data and support various data processing workflows;
* Develop data ingestion pipelines and integration processes, ensuring smooth and reliable data transfer from various sources into the DataLake;
* Implement data transformation and enrichment processes using AWS Lambda, Glue, or similar technologies to ensure data quality and consistency;
* Collaborate with data scientists and analysts to understand their data requirements and design appropriate models and schemas in the DataLake;
* Optimize data storage and retrieval mechanisms, leveraging AWS services such as S3, Athena, Redshift, or DynamoDB, to provide high-performance access to data;
* Maintain and improve the DataLake infrastructure, identifying and resolving performance bottlenecks, data processing errors, and other issues;
* Stay up-to-date with new AWS services and technologies to enhance the architecture and drive innovation;
* Mentor junior engineers to foster their growth and adherence to best practices;
* Work collaboratively with cross-functional teams to understand business requirements, prioritize tasks, and deliver high-quality solutions within defined timelines.
What We Offer
* Professional development and constant evolution of skills through training and mentorship programs;
* Opportunities to work on diverse projects and collaborate with global teams;
* A dynamic, innovative environment that encourages teamwork and creativity;
* Benefits package including health insurance, meal vouchers, and more.