REMOTEFULLTIME
Data Engineer - HBase, EMR & Spark Modernization
Trantor
Remote · remote · Posted 2d ago
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Undisclosed5–10 yrsfulltimeRemote
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Section · 01
About this role
Summary of the Role
We are looking for a Data Engineer with strong hands-on experience in HBase, Amazon EMR, Hadoop, and Spark to support a production data platform modernization and migration program.
The role will focus on migrating and modernizing distributed data platforms while maintaining application compatibility, data integrity, performance, and operational stability. The ideal candidate must have real production experience operating and migrating HBase/EMR environments, not only experience with Spark, Databricks, or ETL development.
The engineer will participate in migration planning, cluster-level troubleshooting, data validation, snapshot/restore activities, cutover, rollback, and post-migration verification.
Responsibilities
- Design and execute migration and modernization activities for HBase, EMR, Hadoop, and Spark environments.
- Support production migration of HBase/EMR workloads across environments.
- Perform cluster-level troubleshooting and resolve performance, availability, and compatibility issues.
- Plan and execute HBase snapshots, restore, and migration activities.
- Validate migrated data using row/region counts, checksums, reconciliation, application behavior, and other appropriate validation methods.
- Support HBase data movement using relevant migration mechanisms such as Snapshot/ExportSnapshot/HFile.
- Analyze dependencies between HBase, Spark, Hadoop, applications, and supporting platform components.
- Support EMR version upgrades and platform modernization.
- Participate in production cutovers, maintenance windows, rollback planning, and post-cutover validation.
- Troubleshoot migration issues involving data integrity, cluster configuration, application connectivity, performance, and compatibility.
- Work with Backend, Cloud, Architect, DevSecOps, Security, and QA teams to resolve cross-platform dependencies.
- Support data validation and reconciliation between legacy and target environments.
- Document migration procedures, validation results, issues, resolutions, and operational runbooks.
- Contribute to automation and repeatable processes for migration and validation activities.
Must-Have Skills
- 5+ 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.
Good-to-Have Skills
- Experience with HBase 1.x and HBase 2.x.
- Experience with EMR 5.x and EMR 7.x.
- Experience with HBase Snapshot and ExportSnapshot.
- Experience working with HFiles and Coprocessors.
- Experience with Apache Phoenix.
- Experience with Hive, Presto, and/or Iceberg.
- Experience with Kerberos in Hadoop/HBase/EMR environments.
- Experience with KMS and encrypted data platforms.
- Experience with data integrity validation using checksums.
- Experience with rollback and snapshot/restore strategies.
- Experience supporting large-scale enterprise data platform modernization.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
AutomationApache SparkData EngineerHadoop ecosystemHiveApachedata platformsamazon web servicesAws EmrKerberosetl developmenthbaseDevsecopsicebergApache HadoopDatabricksData EngineeringData MigrationcloudETLData ValidationBig Data
Section · Company
About Trantor
Trantor
IT Services & Consulting
723
employees
2012
14 years old
Menlo Park
United States
₹17.4L PA avg
Avg at Trantor
About
Trantor is a leading provider of IT consulting services for ecumenical brands, helping companies develop high-performance IT solutions and the most advanced technology solutions.
Industries
IT Services & ConsultingHardware & Networking
Employee ratings
10 reviews
3.7/ 5
Culture
3.6
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3.3
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3.8
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