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Lead Data Engineer (FinOps) - Longview Texas
Company: Capital One Location: Longview, Texas
Posted On: 04/26/2024
NYC 299 Park Avenue (22957), United States of America, New York, New YorkLead Data Engineer (FinOps)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. - We are seeking Data Engineers who are passionate about marrying data with emerging technologies to drive cost efficiency of our AWS infrastructure. As a Capital One Lead FinOps Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. -What You'll Do: - Design, deploy, and support cost-efficient AWS solutions as well as systems for data collection, storage, access, and analytics at scale
- Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
- Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
- Research cloud cost abnormalities and provide insights into its financial impact and solutions for supporting needed changes for correction
- Work with lines of businesses to implement savings opportunities within their cloud footprints and applications.
- Provide technical leadership and guidance around architectural best practices that help elevate Cost Optimization as a pillar of the Well-Architected Framework
- Influence and help achieve our enterprise cost efficiency strategy - -Basic Qualifications: -
- Bachelor's Degree -
- At least 6 years of experience in application development (Internship experience does not apply)
- At least 2 years of experience in big data technologies -
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)Preferred Qualifications:
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