|
Senior Lead Data Engineer (Python, Spark, AWS) - Wichita Falls Texas
Company: Capital One Location: Wichita Falls, Texas
Posted On: 11/20/2024
11 West 19th Street (22008), United States of America, New York, New YorkSenior Lead Data Engineer (Python, Spark, AWS)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. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. -The Senior Lead Data Engineer sits within the Card Data Organization & the Data Foundations group, our team works on the foundational capabilities of how data should be produced and consumed. These foundational capabilities include a variety of initiatives as well as AI Assist Tools to enable us to speed the production & consumption of data. The teams are involved in migrating our Batch workloads to the new publishing platform for improved governance and observability. - Our environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others. On a day to day basis this team tackles problems of massive scale, critical data footprint that has bottom line business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning all while providing a superior analyst experience on our tool.What You'll Do: - Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Lead 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
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performanceBasic 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: -
|
|