Data Engineer Lead (Kafka)
Montreal
Applications have closed
AppDirect
AppDirect powers millions of cloud subscriptions worldwide with marketplace, billing, reseller, and distribution solutions.About AppDirect
Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture - one that enables you to Be Seen, Be Yourself, and Do Your Best Work.
About You
We are looking to hire a skilled and ambitious Kafka Tech Lead in the Data & Analytics team. We love entrepreneurial spirit and someone that has a “Data as a Product” mindset. Are you highly technical, with a strong drive to learn? Do you strive to connect data to business outcomes? Then this might be the opportunity for you!
What You’ll Do and How You’ll Make an Impact
- Lead operating Kafka platform in our infrastructure
- Coach and drive teams adopting Kafka and Avro schema best practices
- Modernize our Kafka platform to enable streaming data for business, engineers and customers
- Help guide teams to migrate services from RabbitMQ to Kafka platform
- Work with Engineering and Architecture teams to develop new organizational standards
- Accelerate efficiency by enabling internal stakeholders with self-served data solutions
- Research solutions to complex problems and drive proof-of-concepts
- Author and maintain knowledge base through high-quality documentation
- Deliver quality solutions/process through CICD and automation
What You’ll Need
- Experience in building Kafka stream processing architectures
- Experience in CI/CD, Kubernetes, DevOps principles, Docker and containerization, frameworks, and tools
- Expertise in Kafka topics, brokers, KSQL, KStream and Kafka Control Center.
- Hand-on experience working on Avro schema using Schema Registry and Kafka Connect.
- Experience with developing in modern programming language (e.g., Scala, Java, SQL, Python)
- Exposure to some of the following technologies: Apache Spark, Flink, AWS, Azure, Docker, Kubernetes, CDC
- Experience automating, producing and consuming data in real time from event driven microservices using streaming platforms like Kafka
- Proven experience building data pipelines and data solutions aligned to Business Architecture, operational and analytics use cases.
- Good knowledge and understanding of data structures and experience handling large data sets
- Comfortable in code reviewing other engineers' code and driving/reviewing technical designs..
- Ability to self-manage, think critically, handle multiple tasks and/or projects and deliver solutions autonomously
- Ability to clearly communicate complex ideas to a technical audience
At AppDirect/AppSmart, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Avro AWS Azure CI/CD Data pipelines DevOps Docker Engineering Flink Kafka Kubernetes Microservices Pipelines Python Research Scala Spark SQL Streaming
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