The GCP Engineer will design, build, and operate scalable analytics platforms using Google Cloud, ensuring implementation aligns with innovation strategies and collaborates globally to solve technical challenges.

Fractal Analytics seeks a Hacker-Mind AI Engineer for rapid prototyping of AI solutions, problem-solving, and collaboration with teams and clients, leveraging cutting-edge technologies.

The Azure DevOps Architect will automate infrastructure, collaborate with diverse teams, provide mentorship, and ensure security and performance across deployments.

The Data Modeller will design logical and physical data models, lead data discovery sessions, and collaborate with teams to support BI and data processes.

The role involves implementing SAP Analytics Cloud projects, collaborating with clients, and leveraging technical and functional expertise to deliver BI solutions.

Seeking a Senior Fullstack Engineer proficient in React and Python with experience in FastAPI and cloud platforms like Azure or AWS. Ideal candidates are enthusiastic and eager to contribute to a fast-growing company.

Create and manage BI solutions using Power BI, design dashboards, perform data transformations, and ensure proper documentation and knowledge transfer.

Seeking a Senior Power Platform Developer to design, implement, and troubleshoot solutions using Microsoft Power Platform while collaborating with stakeholders and providing training.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

Design and develop frameworks for data ingestion and processing using various tools on GCP. Ensure compliance with data governance and support development lifecycle.

As an NLP Lead Data Scientist, you'll build solutions leveraging NLP techniques, conduct research on generative AI, and engage in the software development lifecycle while collaborating with cross-functional teams.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

Design, implement, and maintain scalable cloud infrastructure; mentor teams; ensure security and compliance; optimize data processes using GCP, BigQuery, and Kubernetes.

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

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.

The Fullstack Engineer will develop and maintain backend and frontend systems for data projects. Responsibilities include integration, UAT participation, and documentation creation.

Design and develop data ingestion frameworks and real-time processing solutions while optimizing and operationalizing data analytics tools in GCP.

As a Fullstack Engineer, you'll manage backend and frontend projects, integrate algorithms, create user-friendly infographics, and troubleshoot issues.