Data Engineer

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines, transformation frameworks, and enterprise data solutions that support reporting, analytics, and AI initiatives.

The ideal candidate will have strong expertise in modern data platforms, cloud technologies, ETL/ELT development, and data modeling.

The role will be responsible for ensuring reliable, secure, and high-quality data availability across enterprise systems while supporting business intelligence, analytics, and AI use cases.

Data Engineering & Pipeline Development Design, develop, and maintain scalable ETL/ELT pipelines.

Build and optimize data ingestion, transformation, and integration frameworks.

Develop reusable and maintainable data engineering solutions following industry best practices.

Ensure data pipelines are documented, monitored, and supported effectively.

Data Quality & Reliability Implement data quality controls, validation frameworks, and reconciliation processes.

Monitor pipeline performance and proactively resolve data quality issues.

Improve operational reliability, availability, and performance of enterprise data platforms.

Establish monitoring and alerting mechanisms for critical data processes.

Analytics & AI Enablement Prepare and manage datasets required for reporting, analytics, machine learning, and AI initiatives.

Support data consumption needs for business intelligence and advanced analytics teams.

Collaborate with stakeholders to understand and deliver data requirements.

Governance & Security Follow enterprise security, governance, and compliance standards.

Implement data access controls and data management best practices.

Ensure compliance with data privacy, audit, and regulatory requirements.

Continuous Improvement Provide production support and issue resolution.

Identify opportunities for automation and process optimization.

Contribute to platform enhancements and engineering best practices.