The Senior Analytics Engineer will lead the migration of dbt models and Airflow DAGs to a core data warehouse platform. They are responsible for building and optimizing incremental BigQuery data marts while ensuring data quality and reliable delivery.
The specialist will support and enhance a customized PeopleSoft HCM 9.2 environment, including application development and platform maintenance. They will also manage migration activities and collaborate with stakeholders to improve HR-related business processes.
Design and develop backend services using C# and modern .NET while contributing to architectural decisions. Lead technical discussions, mentor developers, and ensure high engineering standards across payment-focused solutions.
Design, develop, and maintain scalable backend services while driving architectural decisions and technical research. Collaborate across teams to ensure high-quality code delivery, monitoring, and mentorship of other engineers.
Define the technical strategy and architecture for enterprise AI capabilities while maintaining a hands-on role in coding and system design. Lead a small engineering team and collaborate directly with client leadership to deliver measurable business outcomes.
The analyst will collect and document business requirements, conduct fit-gap analysis, and map business processes to identify automation opportunities. They will also collaborate with cross-functional teams to ensure accurate implementation, testing, and data integration between ERP and external systems.
Collaborate with business stakeholders to translate complex requirements into reliable, reusable Claude Code skills and automated workflows. Design, implement, and maintain AI-driven solutions while iteratively improving their reliability and performance through testing.
Analyze complex business and project processes to translate them into scalable functional designs and configurations within Dynamics 365. Lead end-to-end consulting activities including workshops, testing, and go-live support while collaborating with technical teams.
Design and optimize end-to-end data solutions, including ingestion, processing, and storage, across cloud and legacy environments. Collaborate with cross-functional teams to modernize data systems while ensuring high standards of data quality, security, and performance.
Develop and maintain scalable REST APIs and backend services using Python and FastAPI for the banking sector. Implement secure authentication, data models, and caching mechanisms while ensuring quality through automated testing.
The role involves eliciting and documenting business and functional requirements for a fintech payment project. The analyst acts as a bridge between business, product, and technical teams to ensure successful delivery of complex initiatives.
Lead and mentor a team of developers to design and implement a scalable micro-frontend architecture for banking systems. Develop high-quality user interfaces for Back Office applications while ensuring performance, security, and maintainability.
Develop scalable backend web applications using C# and .NET 8/9 within a product team. Design and integrate REST APIs while leading code reviews and taking ownership of backend architecture.
The role involves the administration, operation, and tuning of distributed messaging platforms and Spark workloads. It also requires implementing governance, security, and continuous monitoring for critical data environments.
