Data Engineer

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Build and optimize data ingestion frameworks integrating multiple internal and external data sources.
• Architect and implement cloud-native data platforms using modern data stack technologies.
• Ensure data quality, lineage, observability, and governance best practices.

Platform & Performance

• Optimize data models and pipelines for performance, scalability, and cost efficiency.
• Implement CI/CD pipelines and infrastructure-as-code for data solutions.
• Improve system reliability through monitoring, logging, and automated alerting.
• Drive data platform standardization and reusable frameworks.

Collaboration & Stakeholder Engagement

• Partner with business stakeholders to translate requirements into technical data solutions.
• Work closely with data scientists and analytics teams to enable advanced reporting and ML use cases.
• Provide technical mentorship to junior and mid-level engineers.
• Contribute to design reviews and architectural discussions.

Governance, Security & Compliance

• Ensure adherence to enterprise data governance, security, and compliance policies.
• Implement role-based access control and secure data handling practices.
• Support audit readiness and regulatory requirements where applicable.