Job Overview
We're looking for a seasoned data professional to design and maintain scalable data architectures on AWS, ensuring high-quality performance, security, and reliability. This role involves collaborating with cross-functional teams to integrate data from multiple sources and drive business value through AI/ML initiatives.
Key Responsibilities:
1. Develop and optimize ETL pipelines using AWS Glue.
2. Work closely with data scientists and analysts to integrate data from Salesforce, APIs, and other sources.
3. Design solutions in Python and SQL to meet business requirements.
4. Ensure data governance, documentation, and adherence to best practices.
Requirements:
* Proven experience in data engineering with AWS.
* Strong proficiency in Python and SQL programming languages.
* Experience with data modeling, pipeline optimization, and cloud-based data platforms.
* Excellent communication and collaboration skills.