Senior Data Engineer

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October 28

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Knowledge Anywhere

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SaaS • Education • Enterprise

Knowledge Anywhere is a provider of a feature-rich Learning Management System (LMS) designed to streamline and enhance corporate training programs. The company offers a centralized platform that allows businesses to create, manage, and track training courses for employees, customers, or partners. The LMS includes advanced features such as assessments with AI, badges & leaderboards, course conversion tools, and reporting & analytics, among others. Knowledge Anywhere caters to various industries such as financial services, healthcare, manufacturing, and more. They also provide custom course development, a large course library, and virtual reality training solutions to meet diverse training needs. With a focus on compliance, employee onboarding, and talent development, Knowledge Anywhere aims to improve training efficiency and drive organizational growth.

11 - 50 employees

Founded 1998

☁️ SaaS

📚 Education

🏢 Enterprise

📋 Description

• As a Senior Data Engineer, you’ll be responsible for building high performance, scalable data solutions that meet the needs of millions of agents, brokers, home buyers, and sellers. • You’ll design, develop, and test robust, scalable data platform components. • You’ll work with a variety of teams and individuals, including product engineers to understand their data pipeline needs and come up with innovative solutions. • You’ll work with a team of talented engineers and collaborate with product managers and designers to help define new data products and features.

🎯 Requirements

• BS/MS in Computer Science, Engineering, or related technical discipline or equivalent combination of training and experience. • 5+ years core Scala/Java experience: building business logic layers and high-volume/low latency/big data pipelines. • 3+ years of experience in large scale real-time stream processing using Apache Flink or Apache Spark with messaging infrastructure like Kafka/Pulsar. • 5+ years of experience on Data Pipeline development, ETL and processing of structured and unstructured data. • 3+ years of experience using NoSQL systems like MongoDB, DynamoDB and Relational SQL Database systems (PostgreSQL) and Athena. • Experience with technologies like Lambda, API Gateway, AWS Fargate, ECS, CloudWatch, S3, DataDog. • Experience owning and implementing technical/data solutions or pipelines. • Excellent written and verbal communication skills in English. • Strong work ethic and entrepreneurial spirit.