Software Engineer - Apache Spark and Graph Developer

Enterprise Knowledge

Posted: 
January 27, 2021

candidate will specifically have experience deploying and running Apache Spark in a production environment, has experience managing data at scale using relational databases and SQL, and is comfortable with graph based algorithms.  

The developer will be part of a team working on cutting-edge projects like developing a fully functional semantic solution to manage client’s data portfolio or user interface graph database backend that uses semantic capabilities to organize data and provide relevant access to end users.

As an EK team member, you will have the opportunity to learn from enthusiastic colleagues, take advantage of our unique benefits, and help build our innovative culture. Don’t just take our word for it – we were recently featured as one of Washington Business Journal and Inc. Magazine’s 2020 Best Workplaces!

Required Skills

  • Experience working with Apache Spark and with Scala or Java systems
  • Data science and data engineering skill set focused on providing consultative services and conducting development work for information/data management solutions
  • Minimum of 3 years of experience deploying enterprise level data engineering solutions.
  • Strong experience with structure data warehouse design and management.
  • Production level PL/SQL scripting, experience with Python, Scala/Spark.
  • Experience building and supporting cloud-based infrastructure; AWS/Azure.
  • Some experience with Hadoop, GraphDatabases, MySQL, DynamoDB, Search, analytics and reporting applications.

Preferred skills

  • Working knowledge or experience with Agile software development lifecycle
  • Full stack development experience is a big plus
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