COUNTRY Financial® · 5 hours ago

Data DevOps Engineer

Bloomington, IL

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

Maximize your interview chances

Insurance

Actively Hiring

No H1B

Hiring Manager

Amy Humphrey

Insider Connection @COUNTRY Financial®

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Design, build, implement, and support COUNTRY’s IT solutions.

Ensure IT solutions meet requirements for security, availability, capacity, resiliency, and performance in a way that is efficient and supportable, reducing overall support costs.

Understand industry leading solutions and trends for assigned technologies and applying those as appropriate for COUNTRY.

Understand business needs and partnering with appropriate IT counterparts to recommend technology solutions.

Establish and maintain an IT multi-year strategy with a focus on continuous improvement. Create and maintain solutions architecture artifacts and other strategy and system documentation.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

DevSecOps best practicesBig data knowledgeCloud data platform solutionsBash scriptingPython/PySparkSQLImpalaGrafana/Splunk loggingSAFe Agile experienceFinancial services experienceData lake componentsData warehouse componentsData governance practicesGitLab

Required

Experience in defining and leading the adoption of DevSecOps best practices including automation, test delivery, secure code practices, and CI/CD pipeline management including use of GitLab.

Big data knowledge including in depth understanding of data lake/data warehouse components, data management responsibilities, and data governance practices.

Experience with cloud data platform solutions, with a working knowledge of Cloudera or other Hadoop data platforms on Azure preferred.

Experience coding in a data environment, including strong scripting skills in languages such as Bash and Python/PySpark, and recent experience with big data tools such as Python/PySpark, Impala, SQL, and Grafana/Splunk logging.

Experience working in a lead role within a SAFe Agile environment, including experience in a financial services/insurance organization, is ideal.

Typically requires 10 years of relevant experience or a combination of related experience, education and training.