Data Platform - Migration Engineer

Remote • Posted 1 hour ago • Updated 1 hour ago

Full Time

Remote

$60 - $70/hr

Process Q

Fitment

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Job Details

Skills

mapR

Summary

ROLE SUMMARY

We are looking for a Senior Data Platform / Migration Engineer to lead the modernization of an enterprise data ecosystem, including migration from Cloudera DataIQ DSS to MapR. This role requires deep expertise in large-scale distributed data systems, migration strategy, and performance optimization, with a strong focus on zero data loss, minimal downtime, and production stability.

KEY RESPONSIBILITIES

Lead end-to-end migration of enterprise data lake from Cloudera (DataIQ, DSS, CDP) to MapR
Define and execute migration strategy ensuring data integrity, minimal downtime, and rollback readiness
Design and build scalable, production-grade data pipelines post-migration
Optimize cluster performance including compute, storage, and resource utilization
Partner with BI/reporting teams to ensure schema consistency and data availability
Implement data validation frameworks to ensure accuracy and completeness post-migration
Document architecture, runbooks, lineage, and operational procedures
Collaborate with governance teams on data quality, lineage, and compliance requirements

REQUIRED SKILLS AND EXPERIENCE

8+ years in Data Engineering / Data Platform Engineering
Strong hands-on experience with Cloudera (CDP, DSS, DataIQ) and/or MapR
Strong hands-on experience with Apache Spark, Hive, Hadoop, HDFS
Proven experience executing large-scale data lake migrations
Strong programming skills in Python, Scala, or SQL
Deep understanding of distributed data processing and storage systems
Experience with ETL/ELT frameworks (Informatica, Talend, dbt, or similar)

PREFERRED QUALIFICATIONS

Prior MapR implementation or certification
Experience with streaming platforms (Kafka, Pulsar)
Exposure to cloud-native data platforms (AWS S3, Azure Data Lake, Google Cloud Platform)
Familiarity with data governance, lineage, and catalog tools
Experience working in high-scale enterprise environments (multi-terabyte/petabyte)

CORE TECHNOLOGY STACK

Cloudera DSS / DataIQ / CDP, MapR, Apache Spark, Hive, Hadoop, HDFS, Kafka, Python, SQL, dbt, Informatica / Talend

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91172230
Position Id: 8929781
Posted 1 hour ago

Company Info

About Process Q

At ProcessQ, we believe in the power of technology to drive meaningful change. It fuels our passion and commitment to help organizations not just meet, but exceed their goals. When we partner with you, we don’t just bring technical expertise—we bring fresh, innovative ideas that elevate your performance, refine your strategies, and inject new energy into your business.

The future belongs to those who build, connect, and transform the world around them. The most successful and forward-thinking businesses are already doing this—and we’re here to ensure you’re part of that movement. With our skilled experts, we assemble the right teams, provide the tools, and deliver the support your business needs to thrive in this evolving digital landscape.

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Data Platform - Migration Engineer

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