We're seeking a seasoned data engineer to lead the design and maintenance of large-scale data pipelines on AWS. This individual will collaborate with data scientists and analysts to integrate diverse data sources and support AI/ML initiatives.
Key Responsibilities:
* Design, develop, and optimize ETL pipelines using AWS Glue.
* Work with AWS S3, Glue, and SageMaker for end-to-end data and AI workflows.
* Develop solutions in Python and SQL.
* Integrate data from Salesforce and APIs.
* Maintain high standards for data governance, documentation, and best practices.
Technical Stack:
* AWS (S3, Glue, SageMaker)
* Python, SQL
* Salesforce, APIs
Requirements:
* Proven experience in data engineering with AWS.
* Strong proficiency in Python and SQL.
* Experience with ETL, data modeling, and pipeline optimization.
* Advanced English language skills for international collaboration.