Data Engineer

Omniboost is a company focused on providing data solutions for hotels and restaurants. As a Data Engineer, you will design and maintain data pipelines, build integrations, and support the infrastructure that powers their products, ensuring high-quality data flows for smarter decision-making.

Responsibilities:

• Design, implement, and maintain ETL/ELT pipelines to support data integration and analytics
• Build APIs and data services that connect internal systems and external partners
• Develop and optimize data models for relational and NoSQL databases, ensuring they scale as we grow
• Ensure data quality, testing, and monitoring best practices are in place to deliver value to users
• Work with AWS services such as S3, Lambda, Redshift, and RDS to manage data infrastructure
• Participate in architectural discussions about data and ML systems, contributing curiosity and vision
• Use version control (Git) and collaborate effectively within agile teams
• Document processes and share knowledge, helping others grow and learn

Requirements:

• Minimum 3 years of experience as a Data Engineer or in a similar role
• Strong programming skills in Python, Go, and SQL; excited to learn new tools and languages
• Familiarity with API design and consumption
• Proficiency in Git and version control best practices
• Solid knowledge of AWS services (S3, Lambda, Redshift, RDS, etc.)
• Understanding of data modelling, database design, and integration patterns
• Experience with version control (Git)
• Awareness of data quality, testing, and monitoring best practices
• A proactive and solution-oriented mindset with an interest in leveraging AI for data workflows
• Experience with CI/CD pipelines for data or ML
• Knowledge of workflow automation/orchestration tools (e.g., n8n)
• Familiarity with infrastructure-as-code (e.g., AWS CDK)
• Exposure to AI/ML concepts or an interest in applying AI tools for data workflows