Job Title – Senior Big Data Engineer
Job Duty –
Develop, test, and implement Big Data ecosystem applications using Hadoop. Lead implementation teams from concept to completion by leveraging the best practices of Big Data. Builds robust big data solution systems with an eye on the long-term maintenance and support of the application using Hadoop to process large data. Design and develop code for products using Spark, Kafka, Spark SQL, Unix shell scripting, and Bigdata tools. Using R and Python build analytics algorithms. Leverage reusable code modules to solve problems across the team, including Data Preparation and Transformation and Data export and synchronization. Design and develop automated test cases that verify solution feasibility and interoperability. Implement Hadoop Ecosystems such as Apache Kafka, Flume, Oozie, Zookeeper, Pig, Hive, Sqoop, etc. Provide post-implementation support.
Job Requirement –
Must have a Bachelor’s degree or foreign equivalent in Computer Science, Computer Science Engineering, Computer Engineering, Information Technology, or a directly related field and 5 years of post-baccalaureate progressive experience as a related computer professional. Experience must include at least 2 years developing, testing, and implementing big data ecosystems applications using Hadoop, build analytical algorithms using R and Python, Spark, Apache Kafka, Flume, Oozie, Zookeeper, PIG, Hive, Sqoop.
Job Location –
2201, cooperative way, suite 600, Herndon, VA-20171 and other unanticipated locations throughout the U.S. Candidate may be required to relocate to unanticipated client locations throughout the U.S. for short or long term projects
Position – Permanent, Full-time, 40 hour/week. 9:00 AM to 5:00 PM
Please send resume via Mail to: Napa Analytics, 2201, cooperative way, suite 600, Herndon, VA-20171.