Data Engineer

Aporia is a fast-growing start-up, on a mission to empower businesses to trust AI and use it responsibly and fair. Used by data science teams across the globe, Aporia’s ML Observability platform is trusted by organizations of all sizes and industries, from Fortune 500 companies to start-ups, to monitor, explain, and improve their machine learning models. After achieving our recent milestone of $25M Series A funding led by Tiger Global, we’re growing at lightning speed and expanding our offices in Tel Aviv, the US, and around the world. we can validate Aporia has a very clear product-market fit. If selling cutting-edge technology that is top of mind for every company in the world excites you, this should be your next landing spot. As an Aporian, you’ll become an essential part of our journey, helping to shape the future of AI.

We are looking for an experienced, hands-on data engineer to join an innovative and talented R&D team, responsible for designing and building Aporia data pipelines and data lakes architecture, investigating and adapt new technologies to support high data volumes efficiently.

At Aporia, you will have the opportunity to Work with state-of-the-art technologies and practices, work in an agile environment that empowers employees to grow in their desired direction, and where technology is at the forefront – writing features where the code quality matters the most.

• Design and develop production-grade data pipelines and data lakes with cloud systems (k8s, helm, elastic search, Kafka, RDS, and more)
• Design and develop integrations with multiple data sources, engines, and platforms (Spark, Big Query, etc.)
• Adopt industry-leading technologies to support best-in-class business capabilities for high-performance computing and data storage solutions
• Perform design & code reviews and write technical documentation
• Collaborate with product and ML research and engineering teams to create solutions for ML teams scenarios

Requirements

• 5+ years of Real-world experience in data engineering in Big Data pipelines
• Hands-on development experience in Java/C#/C++/Python/Node/Go
• Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture and high-scale or distributed RDBMS /NoSQL platforms
• Experience with cloud platforms and cloud-native patterns
• Experience with CI, CD, Docker, Kubernetes, and cloud platforms
• Experience in message queuing, stream processing, and highly scalable ‘big data’ tools and technologies is a plus
• Excellent communication and teamwork skills
• Great people skills, team player and can-do attitude
• Knowledge of / experience with Machine Learning is a plus.