Lead the development of cloud infrastructure solutions, ensuring security and compliance while mentoring teams and optimizing cloud usage for clients.

The Data Modeller will design data models, lead data discussions, ensure database efficiency, and collaborate with data engineering teams. They will also maintain expertise in application areas and industry standards.

The role involves evaluating technology landscapes, creating architectures, collaborating with data teams, and ensuring smooth service delivery on Google Cloud Platform.

Design, implement, and maintain scalable cloud infrastructure on GCP. Collaborate with teams, optimize workloads, and manage resources. Mentor teams and ensure security compliance.

The FinOps Architect will manage financial operations for cloud services, optimize spending, enforce budgeting, and provide insights to enhance efficiency.

As a Databricks Platform Admin, you will be responsible for maintaining the Databricks platform, optimizing its performance, ensuring security and compliance, and providing support to users.

Lead the design and implementation of scalable, high-availability infrastructure on GCP, mentor teams, and optimize cloud resource usage while ensuring security and compliance.

Lead the design and implementation of Azure solutions, define architecture, mentor teams, and support client engagements for cloud adoption.

The Senior Consultant - Power BI is responsible for developing advanced Power BI solutions, collaborating with stakeholders, mentoring junior staff, and ensuring data integrity and security.

Lead Architect responsible for managing full stack development for Data to Decision projects, collaborating with teams to integrate and deploy systems for Fortune 500 clients.

The Lead Gen AI Data Scientist designs solutions utilizing AI and LLMs, conducts research, collaborates with teams, and ensures code quality.

The Lead Data Scientist will lead AI solution development, manage project teams, and collaborate with stakeholders to deliver client projects while ensuring high quality and timeliness of deliverables.

Lead MLOps initiatives by collaborating with data scientists to deploy machine learning models, automate processes, and support client projects with advanced analytics solutions.

As a Fullstack Engineer, you'll develop and maintain backend and frontend systems for data projects, collaborate with teams, and troubleshoot application issues.

The Fullstack Engineer will develop and maintain frontend and backend systems for data projects, integrate algorithms, and collaborate with cross-functional teams.

As a Principal Data Scientist, you will lead NLP projects, develop cloud-based solutions, and manage client relationships while driving innovation in AI applications.

The Data Engineer will implement data pipelines and analytics solutions using AWS technologies, collaborate with stakeholders, and optimize data processes.

Design and develop data ingestion frameworks and real-time processing solutions using various data processing tools, ensuring data governance and operationalizing analytics tools.

Design and implement advanced solutions using Large Language Models, conduct research in generative AI, and collaborate with teams to develop applications.

Design and manage CI/CD pipelines, automate provisioning using IaC, manage source code repositories, and ensure application security and performance monitoring.