Data Engineer – AWS Redshift, Python & ETL Pipelines

Capgemini; Cincinnati (OH); On-site; USD 48,050 - 75,079; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

A leading technology consulting firm is seeking a Data Engineer in Cincinnati, Ohio. The role involves designing and maintaining data pipelines using AWS Redshift, optimizing data performance, and collaborating with data scientists. Candidates should have a bachelor's degree and strong SQL proficiency, with additional skills in Tibco Spotfire preferred. The pay range is $34.88 - $54.50 per hour and includes benefits such as medical and retirement plans.

Qualifications

• 2+ years of experience as a Data Engineer, particularly with AWS Redshift.
• Strong background in ETL tools and processes.
• Knowledge of programming languages such as Python is a plus.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using AWS Redshift.
• Optimize and manage Redshift clusters for performance and cost efficiency.
• Implement data models and schemas to support business intelligence and analytics.

Skills

SQL

Database management

Tibco Spotfire

Problem-solving

Collaboration

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

AWS Redshift

AWS S3

AWS Lambda

AWS Glue

Job description

A leading technology consulting firm is seeking a Data Engineer in Cincinnati, Ohio. The role involves designing and maintaining data pipelines using AWS Redshift, optimizing data performance, and collaborating with data scientists. Candidates should have a bachelor's degree and strong SQL proficiency, with additional skills in Tibco Spotfire preferred. The pay range is $34.88 - $54.50 per hour and includes benefits such as medical and retirement plans.