The American Heart Association needs to develop and maintain a data platform supporting their Donor and Company Prospecting Tool.
Requirements
- Strong proficiency in SQL and experience in developing and maintaining ETL/ELT processes.
- Experience working with data from third-party APIs and integrating disparate data sources.
- Familiarity with data pipeline and orchestration tools
- Prior experience in sales automation, lead generation, or lead qualification environments.
- Understanding how to build APIs for eventual ML/AI product features (long term)
- Exposure to cloud environments and data warehousing solutions, with an interest in future integration with tools such as Alteryx and Salesforce.
Responsibilities
- Architect and implement a scalable data platform tailored for the prospecting tool.
- Build and maintain efficient ETL/ELT pipelines that ingest data from SQL databases, third-party APIs, and additional data sources.
- Ensure data from multiple sources is consolidated in a coherent data model that supports accurate lead generation and qualification.
- Prepare the platform for future integrations with Salesforce and Azure by establishing modular and adaptable data processes.
- Implement monitoring and logging for data pipelines to ensure system reliability and quick troubleshooting of issues.
- Optimize data processing for performance improvements as data volume increases.
Other
- Bachelor’s degree or equivalent in Computer Science, Information Systems, or a related technical field.
- Three (3) to five (5) years of experience as a Data Engineer or in a similar role with a focus on building scalable data platforms.
- Demonstrated ability to collaborate with cross-functional teams in a remote environment.
- Strong problem-solving skills and a proactive, innovative approach to tackling data challenges.
