Senior Data Engineer
4 weeks ago
Capital One is seeking a skilled Data Engineer to join our team. As a Data Engineer, you will design, develop, and implement technical solutions in full-stack development tools and technologies. You will work with a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems.
Key Responsibilities:
- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
- Work with a team of developers with expertise in machine learning, distributed microservices, and full-stack systems
- Utilize programming languages like Java, Scala, Python, and Open Source RDBMS and NoSQL databases
- Share your passion for staying on top of tech trends and learning new technologies
- Collaborate with digital product managers to deliver robust cloud-based solutions
- Perform unit tests and conduct reviews with other team members to ensure code quality
Requirements:
- Bachelor's Degree
- At least 3 years of experience in application development
- At least 1 year of experience in big data technologies
Preferred Qualifications:
- 5+ years of experience in application development, including Python, SQL, Scala, or Java
- 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 3+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
- 2+ years of experience working on real-time data and streaming applications
- 2+ years of experience working with testing frameworks (Pytest, Behave)
- 2+ years of experience with NoSQL implementation (Mongo, Cassandra)
- 2+ years of data warehousing experience (Redshift or Snowflake)
- 3+ years of experience with UNIX/Linux, including basic commands and shell scripting
- 2+ years of experience with Agile engineering practices
Capital One is an Equal Opportunity Employer
Capital One does not provide, endorse, nor guarantee third-party products, services, or information
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