Senior AWS Big Data Engineer

Title: Senior AWS Big Data Engineer Location: Whippany, NJ (Hybrid - 2 days onsite) Type: Contract Duration: Long Term Description: t 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 Native 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 languages 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