We are seeking a Senior Data Engineer to design and maintain scalable data pipelines on cloud-based platforms. The successful candidate will collaborate with data scientists and analysts to integrate data from multiple sources and support AI/ML initiatives.
Key Responsibilities:
* Build and optimize extract, transform, load (ETL) pipelines using AWS Glue.
* Work with cloud storage solutions like S3, Glue, and SageMaker for data and AI workflows.
* Develop solutions in Python and SQL programming languages.
* Integrate data from customer relationship management systems like Salesforce and APIs.
* Ensure data governance, documentation, and best practices.
Required Skills and Qualifications:
* Proven experience in data engineering with cloud-based technologies.
* Strong Python and SQL skills.
* Experience with ETL, data modeling, and pipeline optimization.
* Advanced English language skills for international collaboration.