Lead Data Engineer responsible for developing data solutions using Python, SQL, and AWS at Capital One. Collaborate with Agile teams and mentor engineering community.
Responsibilities
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
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
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 performance
Requirements
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)
7+ years of experience in application development including Python, SQL, Scala, or Java (preferred)
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred)
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred)
4+ year experience working on real-time data and streaming applications (preferred)
4+ years of experience with NoSQL implementation (Mongo, Cassandra) (preferred)
4+ years of data warehousing experience (Redshift or Snowflake) (preferred)
4+ years of experience with UNIX/Linux including basic commands and shell scripting (preferred)
2+ years of experience with Agile engineering practices (preferred)
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