Data Engineer
The Nerdery
(Minneapolis, Minnesota)We are a custom software design and development company. We help clients succeed by measurably impacting the world around us through technology.
As a Data Software Engineer at The Nerdery, you'll have the opportunity to work on projects for a wide range of clients. We have opportunities to solve customer projects with a wide variety of frameworks and platforms such as Scala, Java, Hadoop and others. The position provides opportunities to expand your horizons to reach your personal development goals.
- Work with clients to understand business needs and create scalable technical solutions.
- Document key aspects of a project for the client and other team members.
- Contribute to our collective brain power through innovation and peer review
- Architect and implement scalable, distributed data processing solutions to meet business needs.
- Create prototypes in Scala, Python, R or other languages to create models from real world data and evaluate their effectiveness.
You are passionate, flexible, and ready to collaborate with talented engineers to craft brilliant applications from even bigger ideas. You’re a good citizen of the web who believes in choosing the right tool for the job, values including all users, and understands the power of testing.
Requirements
- Expert in Scala and Java
- Experience working with Hadoop and large amounts of data
- Experience with Python, R, or Matlab
- Experience with Git source control
- Experience with Linux
Nice to have
- Experience with Apache Spark and any of its submodules
- Experience with natural language processing, machine learning, data modeling, etc.
- Experience consuming and designing REST APIs
- Experience with Apache Hive or Pig
- Experience with columnar, document, or key-value data stores such as Accumulo, HBase, Cassandra, MongoDB, Redis, etc.
Questions
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- Data Modeling
- Developing and Testing Prototypes
- RESTful APIs
- Hadoop
- HBase
- Java
- Linux
- Matlab
- Python
- Scala
- Apache Cassandra
- Apache Hive
- Apache Spark
- Git
- Machine Learning
- MongoDB
- Natural Language Processing
- Personal Development
- Pig
- R
- Redis
- Accumulo
- Distributed Data Processing

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