Data Engineer - Remote, Flexible Hours, Growth

Bluelight Consulting LLC; Trujillo; Remote; PEN 204.359 - 272.479; Vollzeit

Benefits dieser Stelle

Competitive salary and bonuses

Generous paid-time-off policy

Flexible working hours

Remote work options

Continuing education and training

Zusammenfassung

Bluelight Consulting LLC is urgently seeking a skilled Data Pipeline Developer to join its expanding team in Trujillo, Peru. This role involves developing and maintaining data models while working closely with analytics and business teams to improve data accessibility and decision-making.

The ideal candidate will possess extensive experience with AWS services, various database technologies, and data integration platforms. You will enjoy competitive salaries, flexible working hours, and continued education opportunities.

Qualifikationen

• 3+ years of Data Pipeline development experience.
• 3+ years of SQL experience; No-SQL experience is a plus.
• Experience designing, building, and maintaining data pipelines.

Aufgaben

• Develop and maintain data models for reporting databases.
• Monitor daily pipeline execution and address issues.
• Collaborate with analytics and business teams for data improvements.
• Implement processes to monitor data quality.
• Work within AWS/Linux cloud environments.

Kenntnisse

AWS services (S3, Athena, EC2, EMR, Glue)

Database technologies (SQLServer, Redshift, Postgres, RDS)

Data integration platforms (SnapLogic, Informatica, etc.)

Agile Software Development methodologies

Problem-solving and troubleshooting skills

Excellent oral and written communication

Data governance and quality principles

Business Analytics

Git or version control software

Data warehouse design

Ausbildung

BS or MS degree in Computer Science or related field

Tools

GoodData

Tableau

PowerBI

Jobbeschreibung

Bluelight Consulting LLC is urgently seeking a skilled Data Pipeline Developer to join its expanding team in Trujillo, Peru. This role involves developing and maintaining data models while working closely with analytics and business teams to improve data accessibility and decision-making.

The ideal candidate will possess extensive experience with AWS services, various database technologies, and data integration platforms. You will enjoy competitive salaries, flexible working hours, and continued education opportunities.