Design, build, and maintain tools and frameworks to effectively leverage Forter’s proprietary and public data.
Enable data-driven innovation, and expansion of Forter’s product suite.
Collaborate directly with colleagues from various disciplines: Analysts, Data Scientists, and other Engineers (all of whom write production code!).
Model data and define storage strategy, to ensure that data is intuitive for researchers to find, and easy and fast for them to access.
Optimize data access patterns and queries to shorten research cycles across continually larger and more complex datasets.
Self-manage project planning, milestones, designs, and estimations
Hold yourself and others to a high standard when working with production systems. We take pride in our tests, monitoring & alerting abilities just as we do with our systems.
Debug complex problems across the whole stack
What you'll need:
Proven experience in designing and building large-scale production systems.
Strong analytical skills for extracting insights from disparate datasets.
Expertise in SQL and experience working with relational databases.
Experience with a variety of databases or data stores such as MySQL, Elasticsearch, Redshift, Snowflake, Redis, Couchbase, MongoDB, Cassandra, S3, etc.
Experience with AWS or other public clouds.
Professional proficiency in English.
Would be very cool if you have:
Worked with a managed Spark deployment such as AWS EMR or Azure Databricks.
Developed using notebooks, such as Jupyter or Databricks.
Experimented with Machine Learning techniques.
Things we appreciate:
A link to a blog post you wrote or an interesting talk you’ve given.
Open source projects you’ve created or contributed to.