About the Role
* We are seeking a Data Engineer to design and implement an AWS Serverless DataLake architecture.
The successful candidate will develop data ingestion pipelines and integration processes, as well as implement data transformation and enrichment processes using serverless technologies.
Responsibilities
1. Data Ingestion and Integration: Develop pipelines to ingest data from various sources and integrate it with our existing systems.
2. Data Transformation and Enrichment: Implement processes to transform and enrich data using serverless technologies such as AWS Lambda and Amazon S3.
3. Collaboration: Work closely with data scientists and analysts to understand their data requirements and deliver data solutions that meet their needs.
4. Optimization: Optimize data storage and retrieval mechanisms to ensure efficient data access and querying.
5. Maintenance and Troubleshooting: Maintain and troubleshoot the DataLake infrastructure to ensure high availability and performance.
6. Technology Evaluation: Evaluate new AWS services and technologies to enhance the DataLake architecture and improve data processing capabilities.
About Us
We value diversity, equity, and inclusion and prioritize employee growth. We offer various benefits including professional development opportunities, health insurance, and childcare assistance. We promote an inclusive culture respecting individuality and promoting social responsibility.