We are seeking a seasoned Data Engineering professional to spearhead our data engineering efforts and craft scalable data pipelines on AWS.
### Job Description
The successful candidate will collaborate with data scientists and analysts to integrate data from multiple sources and support AI/ML initiatives. This is an exceptional opportunity for an experienced Senior Data Engineer to lead the development of robust, efficient data solutions and ensure seamless integration across our organization.
* Create and optimize ETL pipelines using AWS Glue.
* Leverage AWS S3, Glue, and SageMaker for data and AI workflows.
* Develop solutions in Python and SQL.
* Integrate data from Salesforce and APIs.
Tech Stack:
* AWS (S3, Glue, SageMaker)
* Python, SQL
* Salesforce, APIs
### Key Responsibilities:
* Design and implement scalable data architectures.
* Work collaboratively with cross-functional teams.
* Ensure data governance, documentation, and best practices.
### Requirements:
* Proven experience in data engineering with AWS.
* Strong Python + SQL skills.
* Experience with ETL, data modeling, and pipeline optimization.