Description

job responsibilities include:

Design, develop, and maintain scalable data solutions that support enterprise data collection, processing, and analytics initiatives.

Create and optimize ETL/ELT pipelines to move, transform, and integrate data across multiple systems and platforms.

Develop and support applications utilizing Java, Oracle, and modern data engineering frameworks.

Build and maintain reliable data architectures that support evolving business and operational requirements.

Ensure data quality, integrity, availability, and performance through effective data governance and engineering practices.

Collaborate with business stakeholders, architects, and development teams to integrate new data sources and technologies.

Analyze complex data challenges and implement innovative solutions that improve efficiency, scalability, and reliability.

Desired Qualifications:

Bachelor’s Degree in Computer Science or a related field.

5+ years of experience with: Java Development, Oracle Technologies, Application Development.

Strong expertise in:

Data Engineering

Data Pipeline Development

ETL/ELT Processes

Data Architecture

Database Design

Data Integration

Experience working with enterprise-scale data platforms and application ecosystems.

Preferred Qualifications:

Experience with Anthropic Claude Code or AI-assisted development tools.

Strong client communication and stakeholder engagement skills.

Knowledge of Digital Banking platforms and financial services environments.

Experience with cloud-based data platforms and modern data engineering practices.

Familiarity with DevOps, CI/CD pipelines, and enterprise application modernization initiatives

Key Skills

Education

Any Graduate