We are seeking an accomplished Data Engineer to oversee the creation and maintenance of scalable data pipelines on AWS, ensuring optimal performance, quality, and security. This individual will collaborate closely with data scientists and analysts to integrate diverse data sources and support advanced analytics initiatives.
* Build and optimize ETL pipelines using AWS Glue.
* Work with AWS S3, Glue, and SageMaker for seamless data and AI workflows.
* Develop solutions in Python and SQL.
* Integrate data from Salesforce and APIs.
* Maintain data governance, documentation, and industry best practices.
Key Technologies:
* AWS (S3, Glue, SageMaker)
* Python, SQL
* Salesforce, APIs
Requirements:
* Proven expertise in data engineering with AWS.
* Strong proficiency in Python and SQL.
* Experience with ETL, data modeling, and pipeline optimization.
* Advanced English communication skills.
We prioritize candidate confidentiality and adhere to global data protection laws. Shared information may be disclosed to our clients and affiliated companies within the CompassUol Group for services.