Senior Data EngineerThe Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premises infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance. This role will focus on developing solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company including migration to the cloud such as AWS. And able to provide solution to support high availability and digital experience to our customers such as zero downtime during deployment.Experience Required:Demonstrated experience working in an Enterprise environment with crossed team interaction and collaboration and policiesExperienced with Cloudera CDPBe able to provide solution for high availability and zero downtime for the platformExperience with scripting and automationStrongly demonstrated knowledge of DB2Experience with SnowflakeService Oriented Architecture (SOA) knowledge and experience with web services is strongly preferred, but not requiredDemonstrated knowledge and best practices of testing environments and processesStrong testing skillsExcellent problem-solving skillsStrong analytical skillsExcellent verbal and written communications skillsFamiliar with structured programming techniquesMust be able to perform assigned tasks with minimum supervisionStrong documentation skillsExperience working in an Agile environment is a plusSoftware:DB2Hadoop Cluster AdministrationUtilized Apache tools such Kafka, Pig, SQL/NoSQL, Ranger, Sentry, Sparks, Hive, Flume, HBase, Hue, Ambari, and Cloudera Manager.Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage.Utilized AWS cloud providers for additional resourcesImplement Big Data solutions using Hadoop distributions from Cloudera CDH /CDPDevOps (CI/CD Pipeline)Applies and implements best practices for data auditing, scalability, reliability and application performance.