Who we are as a team
The System Comprehension team is responsible for building tools that help engineers, product managers, and program managers across Twitter meet regulatory and compliance goals by providing insight into the relationships between systems, services, data and people. We are focused on building systems that enable Twitter Engineering to tackle large and complex data modeling challenges.
What you’ll do
Our systems are designed to be easily scalable and easily adoptable by teams that own data. We’re looking for an engineer who understands the value of creating self-onboarding architectures that don’t require manual intervention to function with the goal of customer teams being able to onboard with only hours of work.
Candidates with experience in one or more of these areas should find themselves at home:
Experience designing and developing data products supported by graph databases and RTL data pipelines.
Great communicator with good product sense - ability to identify both the long and short term needs of the knowledge graph and convey them to product and engineering leadership
Enjoy interacting with and helping customers
Strong, quality-oriented engineer who will continually drive our engineering standards (code reuse, documentation, testing, etc.) and levels of service forward
Familiarity with the following technologies a plus: Neo4j, Cypher, Airflow, Python, Scala, Thrift
Mentor multiple engineers and provide technical leadership and advice at the org level