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Job Description
Join Capital One as a Lead Data Engineer and be at the forefront of driving major transformations. You'll build and maintain sophisticated data pipelines that impact thousands of auto dealerships, marrying data with advanced technologies in a collaborative environment.
Key Responsibilities
Lead design and build Enterprise Level scalable, low-latency, fault-tolerant streaming data platform
Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores
Lead a group of engineers building data pipelines using big data technologies
Influence best practices for Data Pipeline design and Data architecture
Work in a creative & collaborative environment driven by agile methodologies
Share passion for tech trends and mentor team members
Collaborate with Agile teams for technical solutions development
Work with developers experienced in machine learning and distributed microservices
Deliver robust cloud-based solutions for financial empowerment
Perform unit tests and code reviews
Required Qualifications
Bachelor’s Degree
At least 4 years of experience in application development
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
7+ years of experience in application development including Java, Python, SQL, or Scala
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
4+ years experience with Distributed data computing tools (Flink, Kafka, Spark)
4+ year experience working on real-time data and streaming applications
4+ years of experience with NoSQL implementation (DynamoDB, OpenSearch)
4+ years of data warehousing experience (Redshift or Snowflake)
4+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices
Benefits & Perks
Comprehensive health benefitsFinancial benefits including performance-based incentivesInclusive workplace environment