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Data Platform Engineer

Praveena YadavRemoteSENIORPosted 12d ago
HBaseEMRSparkHadoopScalaS3AWSHBase/EMR migrationdata migrationdata validationcluster troubleshootingHBase 1.xHBase 2.xEMR 5.xEMR 7.xHBase SnapshotExportSnapshotHFilesCoprocessorsApache PhoenixHivePrestoIcebergKerberosKMSchecksumsrollbacksnapshot/restore
About the Role We are looking for a Data Platform Engineer to support a production data platform modernisation and migration programme. This role focuses on migrating and modernising distributed data platforms while maintaining application compatibility, data integrity, performance, and operational stability. Key Responsibilities • Participate in migration planning, cluster-level troubleshooting, data validation, snapshot/restore activities, cutover, rollback, and post-migration verification • Support a production data platform modernisation and migration programme • Migrate and modernise distributed data platforms while maintaining application compatibility, data integrity, performance, and operational stability Requirements • 10+ years of experience in Data Engineering / Big Data Engineering • Strong hands-on production experience with HBase • Strong experience with Amazon EMR • Strong experience with Apache Spark • Strong understanding of Hadoop ecosystem • Experience with Scala and/or Spark programming • Experience with S3 and AWS-based data platforms • Hands-on experience with HBase/EMR migration or modernization • Experience with production data migration and cutover activities • Experience validating migrated data through row/region counts, reconciliation, checksums, or equivalent validation techniques • Experience troubleshooting distributed data platforms at the cluster level • Strong understanding of dependencies between HBase, Spark, Hadoop, and application workloads • Experience with production support and migration-related troubleshooting

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