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Overview

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What you'll do

Build and scale data infrastructure that powers batch and real-time data processing of hundreds of billions of records daily.
Provide visibility into health of our data platform (comprehensive view of data flow, resources usage, data lineage, etc).
Automate and handle life-cycle of the systems and platforms that process our data.
Evolve maturity of our monitoring systems and processes to improve visibility and failures detection in our infrastructure.
Streamline the intake of the raw data into our Data Warehouse.
Provide implementations to expose actionable data to internal and external partners

Your background

Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience.
5+ years of experience working with data technologies that power analytics (e.g. Hadoop, Hive, Spark, Presto, Kafka, etc).
Deep understanding of data persistence (relational, key/value, document, columnar, graph).
Skilled at crafting and building robust backend data services (distributed systems, concurrency models, microservices).
Strong dedication to code quality, automation and operational excellence: unit/integration tests, scripts, workflows.
Expertise in object-oriented and/or functional programming languages (e.g. Go, Java/Scala, Python).
Excellent written and verbal communication and social skills; able to effectively collaborate with partners.

About Narrative

Perks & benefits

Health insurance with 100% premium covered
Flexible vacation & paid time off
Equity plan
401(k) plan with employer match
Free lunch and snacks
Dog-friendly workplace

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