Lead Data Engineer
4 weeks ago
Capital One is seeking a highly skilled Lead Data Engineer to join our team. As a Lead Data Engineer, you will be responsible for designing, developing, and implementing technical solutions in full-stack development tools and technologies.
You will collaborate with Agile teams to design, develop, test, implement, and support technical solutions. You will also work with a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems.
The ideal candidate will have a strong background in programming languages such as Java, Scala, Python, and Open Source RDBMS and NoSQL databases. You will also have experience with cloud-based data warehousing services such as Redshift and Snowflake.
We are looking for a passionate and experienced Lead Data Engineer who is passionate about marrying data with emerging technologies. If you are a team player who is excited about driving a major transformation within Capital One, we encourage you to apply.
Responsibilities- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
- Work with a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems
- Utilize programming languages such as Java, Scala, Python, and Open Source RDBMS and NoSQL databases
- Experience with 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
- Bachelor's Degree
- At least 4 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)
- 7+ years of experience in application development including Python, SQL, Scala, or Java
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
- 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
- 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
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