Senior Data Engineer (Remote, India)

About Apollo Apollo.io  combines a buyer database of over 250M contacts  and  powerful sales engagement and automation tools in one, easy to use platform. Trusted by over 160,000 companies including Autodesk, Rippling, Deel, Jasper.ai, Divvy, and Heap, Apollo has more than one million users globally. By helping sales professionals find their ideal buyers and intelligently automate outreach, Apollo helps go-to-market teams sell anything. In the last year, we’ve grown ARR 3x, quadrupled our active users, and closed a $110M Series C led by Sequoia Capital in March of 2022. This year, we continue to grow faster each month with record months of sales and added ARR. We hope you apply. Working at Apollo We are a remote-first inclusive organization focused on operational excellence.  Our way of working ensures clear expectations and an environment to do your best work with ample reward. Your Role & Mission As a data engineer, you will be responsible for maintaining and operating the data warehouse and connecting in Apollo's data sources. Daily Adventures and Responsibilities • Develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity • Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while building the consumption pipelines • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available • Write unit/integration tests, contributes to engineering wiki and document work • Define company data models and write jobs to populate data models in our data warehouse • Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture   Skills & Relevant Experience Required:   • Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics) • Experience in data modeling, data warehousing, and building ETL pipelines • Deep knowledge of data warehousing with an ability to collaborate cross-functionally Preferred:    • 4+ years experience in data engineering or a similar role • Experience using the Python data stack • Experience deploying and managing data pipelines in the cloud • Experience working with technologies like Airflow, Hadoop and Spark • Understanding of streaming technologies like Kafka, Spark Streaming What You’ll Love About Apollo Besides the great compensation package and culture that thrives in openness and excellence, we invest tremendous effort into developing our remote employees’ careers. The team embraces that we have a sole purpose: to help customers maximize their full revenue potential on the Apollo platform. This mindset opens us up to a lot of creative approaches to making customers successful at scale. You’ll be a significant part of a lean, remote team, empowered to really own your role as a proactive educator. We’re very collaborative at Apollo, so you’ll be able to lean on your teammates, even in adjacent departments, to help you achieve lofty goals. You’ll be supported and encouraged to experiment and take educated risks that lead to big wins. And, you’ll have a whole team remotely by your side to help you do it!