The role involves designing, developing, and implementing Salesforce applications using best practices, mentoring team members, and managing concurrent initiatives.

The Databricks Administrator will manage and optimize the Databricks environment, supporting banking-related data analytics and AI initiatives, while ensuring compliance and performance tuning.

The Data Integration Developer will design and implement data pipelines for risk analytics, ensuring data accuracy, compliance, and flow across teams.

The Data Engineer will design, develop, and maintain data pipelines, optimize SQL queries, and collaborate on data requirements in the banking domain.

The Power BI Developer will design, develop, and optimize dashboards and reports, collaborate with stakeholders, manage SQL databases, and support automation through REST APIs and DevOps practices.

The role involves delivering Workday HCM solutions focusing on Compensation and Advanced Compensation, facilitating design sessions, and providing project support.

The Senior Java/C# Developer leads software development projects, mentors junior developers, collaborates across teams, and optimizes solutions using Java and C# technologies.

Develop and optimize AI/ML models using Python, implement prompt engineering and RAG strategies, and collaborate with teams to integrate AI solutions.

The Data & AI Solution Architect will design data and AI solutions, collaborate with teams, validate architectures, and present findings to stakeholders.

The AI Engineer will develop ML models for data analytics, focusing on Generative AI and neural networks, guiding teams and implementing solutions.

The Data Engineer will design, develop, and maintain data pipelines in the banking domain, ensuring data quality and compliance while collaborating with stakeholders.

The Business Analyst will gather requirements, create specifications, support testing, and facilitate Murex implementations in financial services.

The Data Engineer will design and maintain data models and ETL pipelines, support data strategy initiatives, and ensure data quality within an Azure environment.