What are the responsibilities and job description for the Java Big Data Engineer position at ZVST Cloud Technologies, Inc.,?
Java Big Data Engineer Manchester, MO
Type:Contract Duration:Long Term Rate:Negotiable Mode of Interview:Telephonic / Skype
Job Description
Resume Upload*
Description
Type:Contract Duration:Long Term Rate:Negotiable Mode of Interview:Telephonic / Skype
Job Description
- 5 years’ experience developing software as Java Developer.
- Extremely well versed in RESTful micro services architecture.
- Prior experience building micro services with strong understanding of scaling, performance; a proven track record in delivering these systems.
- Building Concurrent, Scalable Distributed systems.
- Building analytical solutions using Apache Spark and Streaming frameworks such as Apache Samza or Kafka Streams.
- Comfort in working with multiple databases like SQL, NoSQL, Cassandra, Redis, Elasticsearch, etc.
- Advanced Computer Science knowledge and background (algorithms, distributed systems, low latency, concurrency, big-O notation, etc.).
Resume Upload*
Description
- 5 years’ experience developing software as Java Developer.
- Extremely well versed in RESTful micro services architecture.
- Prior experience building micro services with strong understanding of scaling, performance; a proven track record in delivering these systems.
- Building Concurrent, Scalable Distributed systems.
- Building analytical solutions using Apache Spark and Streaming frameworks such as Apache Samza or Kafka Streams.
- Comfort in working with multiple databases like SQL, NoSQL, Cassandra, Redis, Elasticsearch, etc.
- Advanced Computer Science knowledge and background (algorithms, distributed systems, low latency, concurrency, big-O notation, etc.).
- 5 years’ experience developing software as Java Developer.
- Extremely well versed in RESTful micro services architecture.
- Prior experience building micro services with strong understanding of scaling, performance; a proven track record in delivering these systems.
- Building Concurrent, Scalable Distributed systems.
- Building analytical solutions using Apache Spark and Streaming frameworks such as Apache Samza or Kafka Streams.
- Comfort in working with multiple databases like SQL, NoSQL, Cassandra, Redis, Elasticsearch, etc.
- Advanced Computer Science knowledge and background (algorithms, distributed systems, low latency, concurrency, big-O notation, etc.).