Senior AWS Big Data Engineer

Title: Senior AWS Big Data Engineer





Location: Whippany, NJ (Hybrid 2 days onsite)





Type: Contract





Duration: Long Term





Description:





At least 8 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions.





Need Strong experience with AWS, Python, PySpark, Hadoop Big Data technologies





Extensive experience providing practical direction within the AWS and Hadoop





Experience with private and public cloud architectures, pros/cons, and migration considerations.





Minimum of 5 years of hands-on experience in AWS and Big Data technologies such as Java, Node.js, C#, Python, SQL, EC2, S3, Glue, Lambda, Spark/SparkSQL, Hive/MR, Pig, Oozie and streaming technologies such as Kafka, Kinesis, NiFI etc.





5+ years of hands-on experience in programming such as Java, c#, node.js, python, pyspark, spark, SQL, Unix shell/Perl scripting etc.





Experience working with DevOps tools such as GitLabs, Jenkins, CodeBuild, CoePipeline CodeDeploy, etc.





Must have at least one AWS Certification:





Certified AWS Developer Associate





Certified AWS DevOps Professional





Certified AWS Big Data Specialty