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Cloudera Hadoop Engineer

Leela KrishnaRemoteSENIORPosted 13d ago
HDFSHiveSparkOoziePythonAWSAmazon EMRAWS GlueAirflowLambdaTerraformBitbucketGradleOctopus DeployArtifactory
About the Role We are looking for an experienced Cloudera Hadoop Engineer for a contract opportunity with a healthcare analytics organization. This role focuses on migrating on-premises Hadoop workloads to AWS and building scalable Big Data solutions. Key Responsibilities • Analyze existing Cloudera Hadoop architecture and data pipelines • Design and execute migration strategies from on-premises Hadoop to AWS • Build scalable, secure, and reliable Big Data solutions • Troubleshoot data pipeline and platform issues • Develop migration documentation and operational runbooks • Collaborate with engineering, DevOps, QA, and business teams • Mentor team members on AWS Big Data best practices Requirements • 10-12+ years of experience with the Cloudera Hadoop ecosystem: HDFS, Hive, Spark, Oozie, and Python • 10+ years of experience in enterprise/application design patterns and Big Data platforms • Strong AWS Big Data experience, including Amazon EMR, AWS Glue, Airflow, and Lambda • Proven experience migrating on-premises Hadoop workloads to AWS • Expertise in data pipeline migration, re-platforming, testing, and validation • Proficiency in Python and Bash/Shell scripting • Experience with Terraform or other Infrastructure as Code (IaC) tools • Familiarity with Bitbucket, Gradle, Octopus Deploy, and Artifactory • Knowledge of data security, governance, monitoring, and logging Preferred • Healthcare data experience, particularly claims, members, providers, and related entities

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