We are seeking an accomplished Data Engineer to spearhead the design and maintenance of scalable data pipelines on AWS, ensuring peak performance, quality, and security.
As a key collaborator with our data scientists and analysts, you will play a pivotal role in integrating data from multiple sources and supporting AI/ML initiatives.
* Create and optimize ETL pipelines using AWS Glue.
* Work closely with AWS S3, Glue, and SageMaker to develop data and AI workflows.
* Develop solutions utilizing Python and SQL.
* Incorporate data from Salesforce and APIs.
* Ensure robust data governance, documentation, and best practices.
Tech Stack:
* AWS (S3, Glue, SageMaker)
* Python, SQL
* Salesforce, APIs
Requirements:
* Proven expertise in data engineering with AWS.
* Strong proficiency in Python + SQL skills.
* Experience with ETL, data modeling, and pipeline optimization.
* Advanced English language skills for international collaboration.