Cornspring is redefining Family Office services by leveraging state-of-the-art generative AI and Large Language Models to provide unparalleled insights and efficiency to Family Office investment and accounting data. Legacy systems fail them: slow, fragmented, and outdated.
Requirements
- The role requires a strong expertise in Python data manipulation libraries and a solid understanding of financial data structures.
- Solid data engineering experience.
- Experience designing and maintaining ETL pipelines, integrating data from multiple sources (including APIs).
- Knowledge and exposure to Azure and / or AWS.
Responsibilities
- You will be responsible for developing and maintaining our ETL pipelines, handling diverse data formats, and ensuring data quality and consistency.
- You'll work on automating data processing workflows while implementing robust validation and error handling mechanisms to maintain data integrity.
- You will conduct testing on data movement, transformation code, and data components to ensure integrity, accuracy, and high-quality deliverables for all data processing.
- You will design and implement data solutions for new initiatives and provide continuous oversight for existing solutions to improve quality and performance.
- You will assess and integrate new data sources into pipelines to meet evolving business needs.
- You’ll provide technical design and coding assistance to junior team members, ensuring the successful delivery of initiatives.
Other
- Unfortunately, no visa sponsorship or transfer will be provided with this position.
- University degree in Computer Science, Software Engineering or equivalent.
- Experience working with remote teams.
- Hybrid working: we work from a beautiful office in Manhattan 2 days a week.
