Data Engineer

Posted 10 Sep 2018

Capital One Bank

Washington, DC United States

java spark kafka aws nifi

In this role, you’ll have the opportunity to leverage a wide range of tools and technologies and mentor other engineers in best practices and approaches. You'll bring solid experience in emerging and traditional technologies such as: Java, Python, Spring, NoSQL databases, relational databases, and AWS/Cloud Infrastructure to name a few. This specific team is building out real-time fraud monitoring solutions using cutting edge big data technologies like Kafka, Flink, machine learning etc.           


-Working with product owners to understand desired application capabilities and testing scenarios

- Continuously improving software engineering practices

- Working within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies

- Leading the craftsmanship, availability, resilience, and scalability of your solutions

- Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor other members of the engineering community

- Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity

Basic Qualifications:

Bachelors degree or military experience

- At Least 4 years experience with Java and object-oriented programming languages

- At Least 3 years experience building APIs

- At Least 3 years experience with application development and design

- At Least 4 years experience managing and supporting the full life-cycle of IT development projects

Preferred Qualifications:

- 2+ years experience working with Big data tools such as Kafka, Spark, Flink

- 2+ years experience with NoSQL and distributed databases 

- 1+ years experience with AWS or other cloud technologies

Job Source: Stackoverflow
Job Source: Stackoverflow

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