Job Title

What You’ll DoDesigns and delivers high traffic, high performance solutions to provide enriched data back to engineering systemsDefine the egress strategies and architectures to expose analytical data from the public cloudCollaborate with the stakeholders and engineering partners to define the architecture and implement solutionsAct as a subject matter expert for technical guidance, solution design and best practiceDevelop scalable solutions to implement REST and utilize GraphQL and API Gateways to provide user friendly interfaces Develop streaming data pipelines for custom ingestion, processing and egress to the public cloudDesign and implementation of Kafka / PubSub services to publish events adhering to Catalog messaging standardsDevelop containerized solutions, CI/CD pipelines and utilize orchestration services like KubernetesDefine key metrics, troubleshoot logs using Datadog, APM, Kibana, Grafana, Stackdriver etcManage and mentor associates; ensure the team is being challenged, exposed to new opportunities, and learning, while still being able to deliver on ambitious goalsDevelop a technical center of excellence within the analytics organization through training, mentorship, and process innovationBuild, lead, and mentor a team of highly talented data professionals working with petabyte scale datasets and rigorous SLAsWhat You’ll NeedA graduate of a computer science, mathematics, engineering, physical science related degree program with 6+ years of relevant industry experience6+ years of programming experience with at least one language such as Python, Go, Java Script, React JS.Experience in leading design and implementation of medium to large-scale complex projects Experience building high performance, scalable and fault-tolerant services and applicationsExperience with service oriented architecture (REST & GraphQL) and ability to architect scalable microservices Experience with web frameworks like Django, FastApi, Flask, Spring, Grail, Struts Experience in NoSQL solutions (MongoDB, Hbase/BigTable, Aerospike) and caching technologies (Redis, Memcache)Experience building big data pipelines using cloud-computing technologies preferredExperienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scaleExperience with real-time data streaming tools like Kafka, Kinesis, PubSub, Apache Storm or any similar toolsExperience with Docker containers and Kubernetes orchestrationExperience in unit testing frameworks, CI/CD implementation (Buildkite preferred)Experience with monitoring and logging tools like Datadog, Grafana, Kibana, Splunk, Stackdriver etc