Job Title: Data Pipeline Architect
We are seeking an experienced Data Pipeline Architect to design and develop scalable data pipelines on AWS. This role requires collaboration with cross-functional teams, including data scientists and analysts, to integrate data from multiple sources and support AI/ML initiatives.
* The ideal candidate will have a strong background in data engineering, experience with AWS Glue, S3, and SageMaker, and proficiency in Python and SQL.
* Familiarity with Salesforce and APIs is also required.
* Experience with ETL, data modeling, and pipeline optimization is essential.
Key Responsibilities:
* Design and implement data pipelines using AWS Glue, S3, and SageMaker.
* Collaborate with data scientists and analysts to integrate data from multiple sources.
* Develop solutions in Python and SQL.
* Integrate data from Salesforce and APIs.
Requirements:
* Proven experience in data engineering with AWS.
* Strong Python + SQL skills.
* Experience with ETL, data modeling, and pipeline optimization.
* Advanced English (international collaboration).
We prioritize confidentiality and follow global data protection laws. Candidate data will be kept confidential and not shared with third parties.
Technical Stack:
* AWS (S3, Glue, SageMaker)
* Python, SQL
* Salesforce, APIs