We're looking for a Data Engineer to help lead Data Engineering and Analytics Runway. The person in this role will own the data pipeline, build and optimize ETL processes, design and implement a modern data warehouse architecture, and develop data models. This role requires collaboration with ML Engineers, infrastructure engineers, and product managers to identify data requirements.
We are looking for a strong Informatica Architect with Informatica's Intelligent Data Management Cloud (IDMC) and Azure Exp. Candidate needs 15+ years for experience who has helped in Designing, Architecting, Setting up security governance, define implementation approach for Informatica's Intelligent Data Management Cloud (IDMC) and MS Azure. Design and develop data integration workflows and mappings using IDMC. Implement and manage data quality and data governance policies using IDMC.
We’re seeking a detail-oriented Data Engineer to build robust, efficient data pipelines and infrastructure for our healthcare technology platform. You’ll be integral in ensuring reliable data flows between our applications and healthcare systems, enabling analytics and AI-driven decision-making
The Data Engineer will curate and optimize our data and data pipeline architecture, as well as optimizing data flow and collection for various application teams. The hire will support our application experts, software developers, database architects, and data analysts on a Data Roadmap strategy and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be comfortable supporting the data needs of multiple teams, systems, and products.
This is a client-facing position where you will provide expertise in designing, implementing, and optimizing data management strategies for organizations. You will also collaborate with clients to ensure data integrity, accessibility, and compliance while supporting data-driven decision-making processes.
Lead the development of data-driven analytics solutions for credit risk, portfolio performance, and investor reporting. Oversee the architecture and development of our data infrastructure, analytics tools, and automated solutions. Collaborate with analysts, data scientists, engineers, and business stakeholders to drive data initiatives. Ensure data integrity, scalability, and compliance with regulatory and investor requirements.