Data Engineering Lead
24 hours ago
Capital One is seeking a highly skilled Data Engineering Lead to join our team. As a key member of our Agile team, you will design and develop technical solutions in full-stack development tools and technologies, utilizing Java, Scala, Python, and cloud-based data warehousing services like Redshift and Snowflake.
Key Responsibilities:
Collaborate with Agile teams to design and develop technical solutions
Utilize programming languages like Java, Scala, Python, and cloud-based data warehousing services
Share your passion for staying on top of tech trends and experimenting with new technologies
Deliver robust cloud-based solutions that drive powerful experiences
Basic Qualifications:
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 experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ year experience working on real-time data and streaming applications
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 will not sponsor a new applicant for employment authorization or offer any immigration-related support for this position.
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