Data Engineer

Atlanta, GA, US • Posted 4 hours ago • Updated 4 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
No Travel Required
On-site
$60 - $60/hr
Fitment

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Job Details

Skills

  • SQL
  • ETL
  • Rhine

Summary

Location: Atlanta, GA, – Only Locals

Experience: 13+ Years MUST

Duration: 12 Months

Job Type:  Contract

 

Job Overview:
We are seeking a skilled Data Engineer with strong expertise in SQL, ETL development, and hands-on experience with Rhine (or similar metadata-driven orchestration frameworks). The ideal candidate will play a key role in building scalable data pipelines, managing data transformation workflows, and supporting analytics initiatives across the enterprise.

 

Mandatory Skills: 

DataStage (6+ Years Must along with the current project), Microsoft SQL Server, Data warehouse, ETL, SSIS, Python, Informatica, Talend, Python, Rhine is not Mandatory/Needed         

Key Responsibilities:
Design, develop, and maintain ETL pipelines using best practices and enterprise data architecture standards.
Write advanced SQL queries for data extraction, transformation, and analysis from structured and semi-structured data sources.
Work with Rhine-based pipelines to enable dynamic, metadata-driven data workflows.

Collaborate with data architects, analysts, and business stakeholders to understand data requirements and implement robust solutions.
Ensure data quality, consistency, and integrity across systems.
Participate in performance tuning, optimization, and documentation of data processes.
Troubleshoot and resolve issues in data pipelines and workflows.
Support deployment and monitoring of data jobs in production environments.

 

Required Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Strong hands-on experience with SQL (complex joins, window functions, CTEs, performance tuning).
Proven experience in ETL development using tools like Informatica, Talend, DataStage, or custom Python/Scala frameworks.
Familiarity with or experience in using Rhine for metadata-driven pipeline orchestration.
Working knowledge of data warehousing concepts and dimensional modeling.
Exposure to cloud platforms (AWS, Azure, or Google Cloud Platform) and tools such as Snowflake, Redshift, or BigQuery is a plus.
Experience with version control (e.g., Git) and CI/CD for data jobs

 

 

 

 

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: 10120137
  • Position Id: 63297-10367-387463
  • Posted 4 hours ago
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