Lead Data Engineer

Capital One Capital One · Banking · Bangalore, IN

Lead Data Engineer at Capital One in Bangalore, India. This role involves collaborating with Agile teams to design, develop, test, and implement technical solutions using various programming languages and cloud-based data warehousing services. The engineer will work with teams experienced in machine learning, distributed microservices, and full-stack systems, and will be responsible for delivering robust cloud-based solutions. Requires a Bachelor's degree in Computer Science or Engineering, with significant experience in application development, big data technologies, and cloud computing.

What you'd actually do

  1. Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  2. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  3. 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
  4. 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
  5. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  6. Have a high bar for quality, 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

Skills

Required

  • application development
  • big data technologies
  • cloud computing

Nice to have

  • Python
  • SQL
  • Scala
  • Java
  • public cloud (AWS, Microsoft Azure or Google Cloud)
  • Distributed data/computing tools (Databricks, Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi or MySQL)
  • real-time data and streaming applications
  • NoSQL implementation (Mongo, Cassandra)
  • data warehousing experience (Redshift or Snowflake)
  • UNIX/Linux including basic commands and shell scripting
  • Agile engineering practices