Job Overview
This is an opportunity to leverage your technical expertise and drive innovation in data engineering.
Key Responsibilities
* Design and implement a scalable AWS Serverless DataLake architecture that meets the needs of various data processing workflows.
* Develop efficient data ingestion pipelines and integration processes to ensure seamless data transfer from diverse sources into the DataLake.
* Implement effective data transformation and enrichment processes using AWS Lambda, Glue, or similar technologies to maintain data quality and consistency.
* Collaborate with cross-functional teams, including data scientists and analysts, to design tailored data models and schemas that meet business requirements.
The ideal candidate will possess extensive experience working as a Data Engineer, with a strong focus on AWS technologies and serverless architectures. A solid understanding of data security, access control, and compliance is essential, along with the ability to work effectively in a dynamic team environment and communicate complex ideas clearly.
Requirements
* Proven track record of designing and implementing serverless data architectures
* Expertise in AWS technologies, including Lambda, Glue, and related services
* Strong understanding of data security, access control, and compliance best practices
* Excellent communication and collaboration skills