We are seeking an experienced Senior Data Engineer to join our Enterprise Data Platform team. This role is responsible for designing, building, and supporting enterprise-scale data pipelines, integrations, migrations, and governance frameworks across cloud and on-premises environments. The ideal candidate combines deep expertise in data engineering, enterprise integrations, database technologies, and platform modernization while driving data quality, security, compliance, and operational excellence.
Key Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines, data models, and enterprise data solutions.
- Administer and optimize Oracle databases, ensuring performance, security, availability, and disaster recovery readiness.
- Build and support integrations across enterprise platforms using REST APIs, SOAP services, MuleSoft, and event-driven architectures.
- Lead data migration and platform modernization initiatives, including cloud and enterprise application migrations.
- Implement data governance, master data management, data quality controls, and compliance standards.
- Collaborate with business and technical teams to gather requirements and deliver scalable data solutions.
- Support Agile delivery, CI/CD processes, and automation initiatives.
Required Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 11 15 years of experience in data engineering, database administration, and enterprise integrations.
- Strong expertise in Oracle Database Administration, SQL, and Python.
- Experience with ETL/ELT frameworks, data modeling, and cloud data platforms.
- Knowledge of REST APIs, MuleSoft, Salesforce, SAP, and enterprise integration patterns.
- Experience with data governance, security, compliance, and performance optimization.
- Strong communication, troubleshooting, and leadership skills