Staff Software Engineer, Big Data
San Francisco, CA, United States
LiveRamp is the leading data connectivity platform. We are committed to connecting the world’s data safely and effectively, advancing innovation, and empowering people to do good. Our platform powers customer experiences centered around the needs and concerns of real people, keeping the Internet open for all. We enable individuals around the world to connect with the brands and products they love. LiveRampers thrive on solving challenging problems for the good of humanity—and we’re always looking for smart, kind, and creative people to help us get there.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
The Data Access team provides cutting edge data management and segmentation solutions to our customers at petabyte scale. We are now evolving our system to the next level for both batch and real-time use cases on a modern stack. You will immediately have an impact in solving our most challenging problems.
●Work on a massively scalable data management system that performs stateful operations on petabytes of data and real time segmentation with accurate counts for people-based marketing. If you enjoy advanced query processing engines, indexing strategies, and database engines in general, this could be a fit.
●Tackle challenging problems such as implementing SOA and Kubernetes at scale, reliably coordinating thousands of batch jobs per day, and overhauling our data tier onGCP and beyond.
●Own product features from the development phase through to production deployment.
●Evaluate big data technologies and prototype solutions to improve our data processing architecture.
Your Team Will:
●Provide data management and segmentation capabilities to our internal and external customers.
●Rearchitect legacy systems and solidify our next gen architecture as we move to support batch and real-time use cases.
●Discover and deliver innovative solutions to our customers’ most difficult challenges at mind-boggling scale.
●5+ years of experience writing and deploying production code of which at least 2+ years’ experience is working on a Big Data platform
●Experience with data processing platforms such as Hadoop, Spark, Hive, Pig
●Deep understanding of large-scale data processing systems
●Solid programming skills in Java or Scala
●Understanding of automated QA needs related to Big data
●Experience with Cloud providers like AWS, Azure, GCP
●Bachelors or Masters in Computer Science, Information Technology, Engineering, or related field or commensurate work experience
●Stream processing - Spark streaming, Apache Kafka, Apache Storm, Flink
●Search indexing such as Lucene, Solr, Nutch, Elasticsearch
●Modern datastores such as MongoDB, Cassandra, Riak, Azure Cosmos DB, Aerospike
●Experience as a formal tech lead
●Designing and implementing interfaces and infrastructure for large volume services andRESTful APIs
●People: work with talented, collaborative, and friendly people who love what they do.
●In-Office Food: enjoy catered meals, boundless snacks, and the occasional food truck.
●Fun: we host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
●Work/Life Harmony: flexible paid time off, remote work opportunities, and paid parental leave.
●Whole Health Package: medical, dental, vision, and disability insurance. Plus mental health support (via Talkspace) and fitness reimbursement up to $100 per month.
●Savings: our 401K matching plan helps you plan ahead.
●Remote Work Support: a comprehensive program to assist you in setting up a home office that works for you
●Location: work in the heart of San Francisco
More about us:
LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people.We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across eight countries and four continents.