Here’s what you’ll be doing
Building and own a scalable and robust self-service data platform that powers batch and real-time data processing of billions of events daily
Building and deploy end-to-end data pipelines
Collaborating with data scientists, engineers and product managers to develop, test and deploy new data driven solutions
Leading by example and contribute to a team culture that values integrity, excellence and collaboration while fostering initiatives and innovation
Investigating new technologies that improve our data infrastructure
We’re excited about you because you have
4+ years of experience as a data engineer or 6+ years as a software engineer
Strong CS fundamentals including data structures, algorithms, and distributed systems
Deep understanding of data processing frameworks and tools, such as Spark, Hadoop, Hive, Kafka, etc
Collaborative attitude with a willingness to lead when necessary
Self-starter, highly motivated and able to learn quickly
Excellent with object-oriented and functional programming languages, such as Python, Java, Kotlin, etc
Nice to Have
Experience in designing and developing data pipelines
Experience with relational SQL and NoSQL databases such as Cassandra, ElasticSearch, and MySQL
Familiarity with 1 or more cloud services such as AWS, GCP, or Azure
Experience with machine learning
Experience with Docker containers and orchestration frameworks such as Mesos / Marathon and Kubernetes
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