
Chief Data Pipeline Architect
Há 5 dias
As a senior data engineer, you will play a critical role in designing and maintaining scalable data pipelines on cloud-based infrastructure to ensure high-performance, quality, and security standards are met.
This senior-level position involves collaborating with data scientists and analysts to integrate data from multiple sources in support of AI/ML initiatives. Key responsibilities include building and optimizing extract, transform, and load (ETL) pipelines using AWS Glue, working with Amazon Simple Storage Service (S3), Glue, and Amazon SageMaker for data and AI workflows, developing solutions in Python and SQL, integrating data from Salesforce and APIs, and ensuring data governance, documentation, and best practices.
Key technologies used include AWS (S3, Glue, SageMaker), Python, SQL, Salesforce, and APIs.
- Strong background in data engineering with cloud-based infrastructure
- Excellent Python and SQL skills
- Experience with ETL, data modeling, and pipeline optimization
- Advanced English language proficiency for international collaboration
The ideal candidate will have the opportunity to work on complex projects, collaborate with cross-functional teams, and develop their skills in cloud-based data engineering.
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