Principal Cloud Data Platform Engineer
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
*** THIS POSITION WILL BE BASED IN OUR HEADQUARTERS IN RIVERWOODS ILLINOIS WITH THE FLEXIBILITY OF WORKING A FEW DAYS A WEEK FROM OUR DOWNTOWN CHICAGO OFFICE ***
We are looking for a seasoned Cloud Data Platform Engineer with Cloud Platform experience to join our quickly growing technology team. Central to our model and overall organizational success, we develop capabilities to be utilized across the analytics enterprise, create products and solutions to drive business decisions, enable the execution of business strategies, and measure business and clinical outcomes.
While this role will be dynamic in nature, specific responsibilities of the Cloud Data Platform Engineer will include:
- Act as a lead engineer on one of the core teams responsible for enabling new features and optimizing data platforms that support Discover’s Advanced Analytic user community
- Engineer leading-edge analytics environments including software, data platforms and user tools that enable productivity and application integration in a secure fashion
- Adapt to new technologies and approaches for the product as we move toward cloud-based deployments leveraging containers on Kubernetes.
- Understand how micro-services need to be architected to run within containerized platforms
- Architect and design batch and streaming data platforms to support Analytic use cases
- Participate in the development of internal software products
- Embody and exemplify our “devops” culture
- Promote a risk-aware culture, ensure efficient and effective risk and compliance management practices by adhering to require standards and processes.
- Builds and leads a high-performing, Agile team focused on next-generation data and analytic technologies.
- Provides senior-level technical consulting to create and enhance analytic platforms and tools that enable state of the art, next-generation Big Data capabilities to analytic users and applications.
- Provides senior-level technical consulting to application development teams during application design and development for highly complex and critical data projects.
- Be part of teams delivering all data projects, including migration to new data technologies for unstructured, streaming, and high-volume data.
- Develops and deploys distributed computing Big Data applications using Open Source frameworks.
- Utilizes programming languages like Java, Python, and NoSQL databases like Cassandra.
- Utilizes Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, Hbase, Pig.
- Leverages DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation, and Test Driven Development to enable the rapid delivery of end-user capabilities.
- Builds and administers large scale data platforms such as Hadoop Data Lake, integrating next-gen data analytic tools into the Big Data ecosystem. Expertise in real-time data technologies.
At a minimum, here’s what we need from you:
- Bachelor’s Degree in Computer Science or related field
- 8+ years of experience in Data Platform Administration, Engineering, or related field
If we had our say, we’d also look for:
- Experience in at least 1 language / scripting framework (Bash, Python, Java, etc.) and desire to pick up another language
- 5+ years in Linux/Unix including basic commands, shell scripting and solution engineering
- 2+ years Cloud Platform Experience, preferably AWS
- 2+ years Container Orchestration platforms (i.e. Kubernetes, Openshift, Docker, etc..)
- Hands on experience with cloud platforms and technologies such as S3, DynamoDB, Kinesis, EC2, Spark, Lambda and other Cloud Data Technologies
- Experience working with automated build and continuous integration systems (Chef, Jenkins, Docker)
- Experience working with an Agile Development software team.
- Experience managing code on Github
- Willingness to mentor junior team members
- Industry experience in Financial Services or other regulated industries
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.