We are seeking a seasoned Data Architect to spearhead the design and maintenance of scalable data pipelines on AWS.
Key Responsibilities:
1. Create and optimize ETL pipelines using AWS Glue for seamless data workflows.
2. Collaborate with AWS S3, Glue, and SageMaker for advanced data modeling and pipeline optimization.
3. Develop solutions in Python and SQL for efficient data integration.
4. Incorporate data from APIs and external sources.
5. Ensure data governance, documentation, and adherence to best practices for optimal results.
Tech Stack:
* AWS (S3, Glue, SageMaker)
* Python, SQL
* APIs, External Sources
Requirements:
1. Proven experience in data engineering with AWS for successful data management.
2. Strong proficiency in Python + SQL for efficient data analysis.
3. Experience with ETL, data modeling, and pipeline optimization for streamlined processes.
4. Advanced English skills for effective international collaboration.