Description

Job 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.

• 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

Education

Any Graduate