Venture Capital firm on a mission to uplift people and economies worldwide through entrepreneurship.
Startups • entrepreneurship • Venture Capital • Seed Accelerator • Startup Accelerator
201 - 500
March 22
Venture Capital firm on a mission to uplift people and economies worldwide through entrepreneurship.
Startups • entrepreneurship • Venture Capital • Seed Accelerator • Startup Accelerator
201 - 500
• Lead integrations and develop connectors with various data sources, ensuring smooth and secure data extraction, including Salesforce, AirTable, Skyvia, Allvue, SaplingHR, and proprietary web portals. • Design and implement scalable and reliable data infrastructure using appropriate technologies (e.g. data lakes, etc.) • Document processes, best practices, and knowledge for transparency and reproducibility while staying updated on emerging technologies and industry best practices. • Build and maintain the infrastructure required for machine learning (ML) and NLP models and LLMs, ensuring scalability, reliability, and performance. • Collaborate closely with domain experts, and other stakeholders to understand and address business needs, participating in relevant and company-wide decisions. • Additional projects as determined by business needs.
• Bachelor's degree in Computer Science, Engineering, or a related field. • 4+ years of experience in designing and implementing scalable and reliable data infrastructure using cloud technologies. • Solid understanding of data governance, security, and compliance standards in a cloud environment. • Hands-on experience building API integrations with various data sources. • Proficiency in cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including cloud services relevant to data storage, processing, and analytics. • Excellent problem-solving skills and ability to troubleshoot complex data infrastructure and integration issues. • Demonstrated experience building something from the ground up. • Experience staying updated on emerging technologies and industry best practices relevant to data engineering and analytics. • Strong documentation skills with a focus on documenting processes, best practices, and knowledge for transparency and reproducibility. • Proven track record of collaborating closely with cross-functional teams, domain experts, and stakeholders.
• Competitive salary • Opportunity to work with a global venture capital firm • Collaboration with entrepreneurial ecosystem stakeholders • Exposure to cutting-edge technologies • Chance to work with 3,000+ startups globally
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