Job Description :
Position:          Big Data Engineer
Location:         Irving, TX
Type:                Fulltime

? Very good understanding of Event-processing pipelines using Kafka, Java, Zookeeper, Hadoop, Spark, Scala, S3,
Spark Streaming.
? Hands experience in writing code for Producers, Consumers, Event processing with in Kafka, Spark streaming.
? Good hands on experience in building applications using event driven framework with Kafka.
? Able to install new Kafka clusters and troubleshoot Kafka related issues in production environment with in given SLAs.

? Work in Big Data Environment and familiar with Big data tools like Spark, Hive, Hbase etc.
? Familiar with Cloud deployments and other AWS tools like S3, Kinesis Streams, Kinesis Firehose, AWS connect etc.
? 8+ years of experience in building large scale enterprise integration implementation and web services and
Microservices etc.
? Using and developing event driven frameworks and REST services using databases, both RDBMS and NoSQL (e.g.
Hadoop, MongoDB, etc
? Development experience with Java.
? Hands-on experience in Java, Rest API, Kafka, Elasticsearch, SQL, AWS.
? Hands customer facing experience supporting external developers in complex partner integration projects.
? Work in a fast-paced agile development environment
? Fine tune Hadoop applications for high performance and throughput
? Troubleshoot and debug any Hadoop ecosystem run time issues
? Understanding enterprise Hadoop environment
? Ability to use JSON and/or XML formats for message. Able work with Avro, parquet formats.
? Ability to work as part of a Scrum team, following SAFe agile practices
? Strong communication and collaboration skills Should be comfortable working in a rapidly transforming organization
? Knowledge of version control such as Git / Bitbucket and Jenkins for builds.
? Understanding of how to integrate code into automated deployment pipelines with CICD.