**Data Engineer Position Overview**
We are seeking a skilled Data Engineer to design and implement a serverless data lake architecture that efficiently handles large volumes of data and supports various data processing workflows.
Key Responsibilities:
* Develop data ingestion pipelines and data integration processes, ensuring the smooth transfer of data from various sources into the data lake.
* Implement data transformation and data 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 data models and schemas in the data lake.
* Optimize data storage and retrieval mechanisms, leveraging AWS services such as S3, Athena, Redshift, or DynamoDB, to provide high-performance access to the data.
* Monitor and troubleshoot the data lake infrastructure, identifying and resolving performance bottlenecks, data processing errors, and other issues.
* Continuously evaluate new AWS services and technologies to enhance the data lake architecture, improve data processing efficiency, and drive innovation.
**Requirements**
* Strong understanding of data engineering principles and practices.
* Experience with AWS services, including Lambda, Glue, S3, Athena, Redshift, and DynamoDB.
* Ability to design and implement scalable and efficient data architectures.
* Excellent collaboration and communication skills.
* Passion for staying up-to-date with emerging technologies and trends in data engineering.
**What We Offer**
* Competitive salary and benefits package.
* Opportunities for professional growth and development.
* Collaborative and dynamic work environment.
* Access to cutting-edge technologies and tools.
If you are passionate about data engineering and want to be part of a innovative team, please submit your application.