Design, develop, and maintain data ingestion and processing pipelines.
Ensure data quality, integrity, governance, and security across data platforms.
Optimize data workflows to support analytics, reporting, and machine learning use cases.
Support scalable data storage and processing platforms.
Collaborate with analytics, business intelligence, and ML teams to deliver reliable data solutions.
Monitor and troubleshoot data pipeline performance and reliability.
Implement best practices for data architecture, transformation, and automation.

Strong experience in data pipeline development and ETL/ELT processes.
Knowledge of data quality, governance, and security standards.
Experience with scalable data platforms and cloud-based data solutions.
Strong understanding of data modeling, transformation, and integration concepts.
Experience supporting analytics and machine learning workloads.
Strong problem-solving and collaboration skills.

Data Engineer