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The Azure Engineer will develop and maintain technology services, engage in client business development, and work across all SDLC phases to deliver data engineering solutions.

The role involves designing and building advanced cloud-based data solutions using Azure technologies, participating in system integration projects, and leveraging Python and SQL for application development and data warehousing.

The Senior Data Modeler is responsible for designing and managing data models, ensuring data accuracy, compliance, and alignment with business needs.

The Fullstack Developer will engage in large-scale projects, design microservices, develop software systems, and manage team interactions while ensuring compliance with SDLC.

Seeking a Full Stack Engineer with experience in frontend and backend development, passionate about AI and performance optimization.

The GCP Engineer will develop and deliver data pipelines on GCP, utilizing Python, Java, and various tools for data ingestion and real-time streaming, while ensuring data quality and effective communication with clients.

The Lead Gen AI Data Scientist will design and implement AI solutions, work with cross-functional teams, and stay abreast of advancements in generative AI and LLMs, while supporting development and integration of models into applications.

The Azure Lead Architect will design and implement cloud-native solutions, guide teams, assess environments for cloud adoption, and mentor development teams.

Lead finance transformation projects, advise clients on performance metrics, oversee consulting teams, and develop strategic relations with CFOs while mentoring team members.

The role involves leading RTM analytics consulting for CPG and Retail clients, formulating strategies, and building client relationships. Requires strong commercial acumen and leadership skills.