Data Engineer Role
The ideal candidate will have a strong background in data engineering with AWS and experience in designing and maintaining scalable data pipelines.
* Design and implement ETL pipelines using AWS Glue
* Collaborate with data scientists and analysts to integrate data from multiple sources
* Develop solutions in Python and SQL
* Integrate data from Salesforce and APIs
Tech Stack:
* AWS (S3, Glue, SageMaker)
* Python, SQL
* Salesforce, APIs
Key Responsibilities
1. Create data pipelines that are highly scalable and efficient
2. Maintain relationships with cross-functional teams to ensure seamless data integration
3. Write high-quality code in Python and SQL for data processing and analysis
4. Extract data from various sources, including Salesforce and APIs
Benefits:
* Promote data-driven decision making within the organization
* Continuously improve and refine data pipelines to meet evolving business needs