Job Location: Herndon, VA
JOB DESCRIPTION
Day-to-Day :
- Works with the guidance of Senior Data Engineers.
- Responsible for designing and building systems to collect and process data (and events) at massive scale. The data is used for a variety of purposes from business insights to application(s) monitoring.
- Conducts and coordinates the design and implementation of software development to meet user requirements.
- Performs quality assurance activities such as peer reviews.
- Support Operations and Maintenance (O&M) tasks for all application programs and assist with analyzing and troubleshooting production issues.
- Analyze business requirements and create technical specifications, develops unit test plans to verify functionality of new and or revised applications.
- Develops technical design specifications for application development.
MINIMUM REQUIREMENTS
Must Haves :
- Strong experience with at least two of these four technologies:
o Kafka, ElasticSearch, HBase, Spark
Requirements (flex):
- A minimum 4 years of experience in complete software development lifecycle using Agile methodologies
- 4+ years of Java or Scala development experience
- Experience with at least one of the following technologies:
o Distributed NoSQL/Key-Value stores such as HBase, Cassandra, or DynamoDB
o Distributed search engines like Elasticsearch or Solr
o Batch and distributed stream processing methods such as Apache Spark and Kafka
- Restful web services experience with code development, deployment, versioning, and build tools (e.g. Eclipse, Git, Gradle, Maven, Jenkins)
- Understanding of Microservices architecture, including professional experience in the design, build, and operations of micro services in a production environment
- 4+ years of experience with Relational Database Systems and SQL
- 2+ years of experience with UNIX/Linux and shell scripting
- 1+ years of experience with developing containerized applications using Docker, Docker Swarm, Kubernetes
- Experience delivering solutions using Amazon Web Services (AWS EC2, RDS, S3, VPC)
- Bachelor’s Degree in Computer Science, Information Systems, Engineering or other related discipline required
DESIRED SKILLS
Pluses:
- Background in Machine Learning or Artificial Intelligence
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