Arcticwolf · Bengaluru, IndiaPrepare for this interview
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At Arctic Wolf, you won't just watch the cybersecurity industry evolve - you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We're proud to be recognized by Forbes, CNBC, Fortune, CRN, Gartner Peer Insights and IDC MarketScape - but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you're looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that's redefining security operations, Arctic Wolf is the right place for you! Our mission is simple: End Cyber Risk. We're looking for a / an Software Developer in Test to be part of making this/that happen. Position Overview and Objective Data is a critical part of Arctic Wolf Network's mission to solve cyber risk, where we process and analyze trillions of events every week to look for malicious and risky behavior. These set of Data Pipelines form the critical backend of all our products and services. The Data Engineering team works on ingesting massive amounts of security data and logs, refining and enriching the data as it flows through the pipeline and service them at a high performance for all the products and stakeholders. As a Data Engineer on this team you will be responsible to create data pipelines for our suite of cybersecurity products and services. They will partner with Product Managers, Security Researchers, ML teams and various other teams that are engaged in the data world in AWN. You will work with SQL, Spark, Databricks, Athena/, Iceberg/Trino to write and optimize ETL/ ELT jobs to ingest raw data from a variety of sources, refine that data, and optimize/tune those datasets into production. You should be comfortable with relational- and non-relational databases like SQL and PostgreSQL, big data systems such as Spark, and cloud-deployments of software and ETL jobs in AWS.
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