Capital One Sr Data Engineer 

United States, Texas, Plano 

997472169

- You will build data pipeline frameworks to automate high-volume and real-time data delivery for our Hadoop and streaming data hub

- You will build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners

- You will transform complex analytical models into scalable, production-ready

- You will continuously integrate and ship code into our on premise and cloud Productionenvironments

- You will develop applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL

- You will work directly with Product Owners and customers to deliver data products in a collaborative and agileenvironment

Responsibilities:

- Master new technologies rapidly as needed to progress variedinitiatives

- Break down complex data issues and resolve them

- Builds robust systems with an eye on the long term maintenance and support of theapplication

- Broader knowledge sharing

- Understands complex multi-tier, multi-platform systems

Basic Qualifications:

- Bachelor’s Degree

- At least 4 years of experience in application development (Internship experience does not apply)

- At least 1 year of experience in big data technologies

Preferred Qualifications:

- Master's Degree

- 6+ years of experience in application development (Python, SQL, Scala, or Java)

- 4+ years of experience in big data technologies

- 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+ year experience working on real-time data and streaming applications

- 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

- 4+ years of experience with Agile engineering practices