We are seeking an experienced Data Engineer to enhance building new, greenfield, learning tools, underpinned by the big data & machine learning products in Google Cloud Platform. We are across-functional group of builders & thinkers who are devoted to creating amazing experiences that promote the well-being & success of Pluralsight's learners.
The metric we care most about when measuring performance is the overall health & happiness of our team. This means that everyone has an opportunity to tackle the challenges they are most interested in & ensuring their voice is heard.
What you'll own:
An ideal candidate will have extensive experience developing fine-tuned data curation pipelines using technologies like SQL, Python/Java/Golang, & MapReduce, with an emphasis towards producing trusted data sets for machine learning & data analytics.
Experience you'll need:
You consider yourself a solutions expert for one of the three major cloud providers with an emphasis around big data
You only deploy Infrastructure as Code in production, & are familiar with the tooling (Terraform/Pulumi, Chef/Puppet/Ansible/Salt)
You have engineered continuous, automated, pipelines for management of ETL jobs, software deployments, etc
Data Pipeline / ETL
You have experience with data streaming & batch processing dataflows, with tools such as Confluent Kafka, Apache Spark, and/or Apache Beam SDK
You have done advanced SQL development & tuning for curating normalized & denormalized datasets
You have a strong foundation in Computer Science with a mastery of Data Structures & Database Fundamentals
Skills that will help
You are familiar with graph theory & have knowledge around GraphQL, graph databases, & graph-based machine learning (Apollo, Dgraph/Neo4j)
You have developed & deployed containerized workloads (GKE/Kubernetes experience is a plus)
You understand GitOps workflows that supercharge the ease & speed of production deployments & are eager to automate wherever you can
An understanding of any of the following: edge computing concepts (Distributed Systems, Cloudflare, etc), service discovery/meshes (Consul, Istio, NATS, etc), TLS/PKI (Let's Encrypt), & Zero Trust models (BeyondCorp)
Experience or knowledge in building datasets for machine learning & data science (TenserFlow experience also a plus)
Your relevant experience should span at least a year or two, & possibly much more! We love helping people transition into working with tools they are most interested in, especially if they have the experience & skills needed to learn challenging new technology.
Working at Pluralsight
Founded in 2004 & trusted by Fortune 500 companies, Pluralsight is the technology skills platform organizations & individuals in 150+ countries count on to create progress for the world.
Our platform helps technologists master their craft & take control of their careers. We empower businesses everywhere to build adaptable teams, speed up release cycles & become scalable, reliable & secure. We come to work everyday knowing we're helping our customers build the skills that power innovation.
And we don't let fear, egos or drama distract us from our mission. Our mission to democratize technology skills is what drives us & our values are at the helm of how we work together. It's our commitment to practicing them day in, day out that enables our performance. We're adults, & we treat each other that way. We have the autonomy to do our jobs, transparency to eliminate office politics & trust each other to do the right thing. We thrive in an environment with creativity around every corner, challenges that keep us on our toes, & peers who inspire us to be the best we can be. We bring different viewpoints, backgrounds & experiences, & united by our mission, we are one.
Bring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.