Senior Data Engineer
Rad AI- Full Time
- Senior (5 to 8 years)
Candidates must possess at least 5 years of experience in data engineering or a data-facing role, along with a Bachelor's degree in a quantitative field such as Physical Science, Computer Science, Engineering, or Mathematics/Statistics. They should have experience in data modeling, data warehousing, and building ETL pipelines, and demonstrate fluency in integrating AI-driven solutions into their workflows.
As a Senior Data Engineer, the individual will be responsible for developing and maintaining scalable data pipelines, building new integrations to support increasing data volume and complexity, implementing automated monitoring and alerting systems, ensuring data quality through monitoring and processes, writing unit and integration tests, documenting work, defining company data models, and writing jobs to populate data models in the data warehouse, while collaborating closely with business units and engineering teams to develop a long-term data platform architecture.
Sales intelligence and engagement platform
Apollo.io provides a platform designed to enhance sales processes and improve outreach for businesses. Its main features include prospecting intelligence, which helps users identify and research potential leads, and enrichment job change alerts that keep databases accurate with extensive data points. The platform also offers sales engagement analytics, allowing users to create multi-channel outreach sequences. Additionally, Apollo.io supports API integrations for data enrichment and custom workflows. Unlike many competitors, Apollo.io focuses on a subscription-based model that offers various pricing tiers, catering to both small businesses and large enterprises. The company's goal is to optimize sales strategies and increase revenue for its clients while ensuring data privacy and security through compliance with industry standards.