Data Engineer

The Data Engineer will help build and maintain data pipelines, models, and infrastructure that power analytics, business-intelligence, and machine-learning initiatives across the company.

Requirements

• Design, develop, and maintain robust, scalable data pipelines and ETL/ELT processes, ensuring efficient ingestion, transformation, and storage of data.
• Build and optimize data models and schemas for analytics, reporting, and operational data stores
• Implement and maintain data quality frameworks, including data validation, monitoring, and alerting mechanisms.
• Collaborate closely with data architects, data analysts, BI engineers and product teams to align data engineering activities with business goals.
• Contribute to CI/CD pipelines supported by version control, linting, automated testing, security scanning, and monitoring
• Troubleshoot and resolve complex data infrastructure and pipeline issues, ensuring minimal downtime and optimal performance.
• Follow coding standards, participate in code reviews, and document your work to foster knowledge sharing.

Benefits

• Bonus eligibility
• Comprehensive benefits program