Lead Data Pipeline Architect
We seek a seasoned professional to create and maintain scalable data infrastructure on AWS, ensuring high performance, quality, and security.
You will collaborate with data scientists and analysts to integrate data from multiple sources and support AI/ML initiatives.
* Design and optimize ETL pipelines using AWS Glue.
* Work with AWS S3, Glue, and SageMaker for data and AI workflows.
* Develop solutions in Python and SQL.
* Integrate data from Salesforce and APIs.
To ensure data governance, documentation, and best practices.
Technical Requirements:
* Proven experience in data engineering with AWS.
* Strong skills in Python and SQL.
* Experience with ETL, data modeling, and pipeline optimization.
* Advanced English (international collaboration).
Benefits:
* High-performance data pipelines.
* Collaborative environment.
* Opportunities for professional growth.