Data Engineer: Cloudera to Redshift Migration & ETL

Slalom

Orlando (FL)

On-site

USD 110,000 - 145,000

Full time

2 days ago
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Job summary

Slalom is seeking an experienced Data Engineer to support a large-scale data modernization initiative, migrating enterprise data from Cloudera to Amazon Redshift. You will develop pipelines, enable cloud transformation, and empower BI.

The ideal candidate has hands-on Cloudera/Hadoop experience, AWS know-how, and strong SQL and data modeling skills. This role follows Eastern Time business hours and requires U.S. citizenship, with collaboration across analytics and reporting teams.

Qualifications

  • 5+ years of experience in data engineering or related roles.
  • Hands-on with Cloudera, Hadoop ecosystem, or similar big data platforms.
  • Experience migrating data from on-premises to cloud data warehouses.
  • Experience building and maintaining ETL/ELT pipelines.
  • Strong SQL development and data modeling skills.
  • Experience with AWS cloud environments.
  • Experience supporting BI and reporting solutions.
  • Ability to work EST business hours.

Responsibilities

  • Design, develop, and maintain scalable data pipelines.
  • Lead migration from Cloudera/Hadoop to Amazon Redshift.
  • Configure, optimize, and monitor ETL/ELT workflows.
  • Collaborate with analytics teams to ensure data availability and quality.
  • Support reporting and visualization using MicroStrategy and BI tools.
  • Create and modify dashboards and reporting solutions.
  • Implement data integration across cloud and on-premises environments.
  • Troubleshoot data pipelines and performance issues.
  • Participate in architecture discussions for cloud modernization.

Skills

Data Engineering
Cloudera / Hadoop
Amazon Redshift
ETL / ELT
SQL
AWS / Cloud
BI Reporting
EST Hours

Tools

MicroStrategy

Job description

Slalom is seeking an experienced Data Engineer to support a large-scale data modernization initiative, migrating enterprise data from Cloudera to Amazon Redshift. You will develop pipelines, enable cloud transformation, and empower BI.

The ideal candidate has hands-on Cloudera/Hadoop experience, AWS know-how, and strong SQL and data modeling skills. This role follows Eastern Time business hours and requires U.S. citizenship, with collaboration across analytics and reporting teams.

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