Senior Data Engineer
Our organization seeks a seasoned professional to design and maintain large-scale data pipelines on AWS, ensuring high performance, quality, and security.
About the Role:
* Develop and optimize Extract, Transform, Load (ETL) pipelines using AWS Glue.
* Collaborate with data scientists and analysts to integrate data from multiple sources.
* Support artificial intelligence/machine learning initiatives.
Key Responsibilities:
1. Design and implement scalable data architectures on AWS.
2. Work collaboratively with cross-functional teams to integrate data from various sources.
3. Provide technical support for AI/ML projects.
Tech Stack:
* AWS (S3, Glue, SageMaker)
* Python, SQL
* Salesforce APIs
Requirements:
* Proven experience in data engineering with AWS.
* Strong skills in Python and SQL.
* Experience with ETL, data modeling, and pipeline optimization.
Confidentiality of candidate information is paramount. Personal data will be kept confidential and not shared externally.