The Azure Data Engineer role involves managing data engineering tasks including production activities, bug fixes, and enhancements while collaborating with development teams. Key requirements include strong experience with Azure services and programming languages like Python, along with operational support and incident resolution responsibilities.

The role involves leading a team of data scientists in model development and deployment, collaborating with product teams and MLOps, ensuring code standards, conducting model evaluations, and creating monitoring plans. The position demands 6+ years of experience in data science with a strong focus on machine learning and statistical modeling in cloud environments.

The Consultant role involves supporting a Fortune 500 client in performance marketing and web analytics. Key responsibilities include leading measurement programs, optimizing conversion funnels, managing A/B testing, and interpreting complex data insights. Proficiency in SQL, Tableau, and experience in digital marketing strategies are crucial, along with strong communication skills to influence decisions at leadership levels.

The Azure Lead will manage a team of engineers, oversee incident management, optimize processes, and collaborate with cross-functional teams. Responsibilities include leading support operations for Azure applications and pipelines, conducting root cause analyses, and driving automation and documentation efforts.

The Client Engagement Manager will be the main contact for major insurance clients, leading strategic discussions, aligning services with client needs, and driving revenue growth through account management and solution implementation. Responsibilities include proposal development, client relationship building, and providing analytical solutions.

The Partner Sales Executive will drive business development and sales growth by building strong relationships with clients and Microsoft partners. Responsibilities include managing the sales pipeline, delivering presentations, and understanding client needs while leveraging expertise in cloud services and AI.

The role involves creating engaging user experiences for complex AI and analytics solutions. Responsibilities include collaborating with cross-functional teams, designing intuitive interfaces, utilizing data visualization skills, and communicating design concepts effectively. The candidate must have a strong UX design background, proficiency in design tools, and be excited about AI integration in design.

The Cloud FinOps Lead Specialist will manage financial operations for cloud and IT services, optimizing spending and ensuring accurate budgeting. Responsibilities include analyzing spending trends, collaborating with engineering and finance teams, creating financial reports, and ensuring compliance with policies and regulations.

The Project Manager - Ops Lead will oversee the operations of Data Engineering and Business Intelligence services. Responsibilities include managing L1/L2/L3 support, optimizing production support, incident management, automation, and ensuring compliance with governance and security policies. The role requires strong leadership and collaboration with various stakeholders.

The DevOps Engineer will manage incident response, service requests, and SaaS platform services for internal customers. Key responsibilities include access management, troubleshooting, and contributing to service improvements, leveraging automation where possible while collaborating with a larger DevOps team to support AWS services and manage tools for CloudOps and developers.

The SAP BW on HANA Developer role involves designing and implementing BI solutions utilizing SAP BW and HANA. Key responsibilities include lifecycle management, creating HANA views, developing predictive analytics, and leading requirement gathering sessions. The role requires collaboration with various teams to enhance analytics and reporting capabilities across specified SAP processes.

The Software Development Engineer role involves developing and deploying AI-driven enterprise applications using proprietary AI platforms, ensuring integration, performance optimization, and comprehensive documentation while collaborating closely with clients to deliver technical expertise and innovative solutions.

The role involves designing, implementing, and managing CI/CD pipelines using major cloud services like AWS, Azure, and GCP. The candidate will be responsible for automation through Infrastructure as Code, optimizing source code management with Git, and ensuring code quality through continuous integration and security best practices.

The Principal Architect Lead Architect at Fractal will evaluate technology landscapes, recommend strategic visions, and collaborate with data engineers and scientists to develop solutions. The role requires extensive experience in GCP and data engineering, focusing on creating scalable architectures and leading projects in cloud and AI technologies.

The DevOps/Platform Architect will lead and build DevOps capabilities for cloud services, design cloud infrastructure, guide agile development teams, and ensure secure and reliable cloud solutions. Responsibilities include mentoring, auditing cloud utilization, and engaging with customers and vendors on cloud technology.

The Technical Project Manager will leverage data analytics to address business challenges, focusing on the payments industry. Responsibilities include data extraction, cleansing, and preparation of KPIs, as well as managing project implementations and stakeholder communications. Knowledge of tokenization and payment systems is essential.

The Consultant will lead the development of a manifesto and project plan for the 'Towns Fund' initiative in collaboration with Nationwide and Visa, focusing on community upliftment through banking and payment solutions. Responsibilities include strategic planning, stakeholder engagement, market research, and impact measurement, all aimed at delivering long-term value to local communities and small businesses.

As a Data Engineer at Fractal, you will leverage data to create solutions for clients in the financial services or payments industry. Responsibilities include data extraction, cleansing, transformation, and preparation of datasets, as well as automating data pipelines and communicating insights to stakeholders.

The Technical Project Manager for Data Engineering at Fractal will oversee the identification and creation of data-driven solutions for clients in the financial services and payments industry. Key responsibilities include data extraction, cleansing, and transformation, development of reporting formats, automation of data pipelines, and effective communication of insights to stakeholders.

The Senior Consultant (Program Manager) will lead strategic projects for a Domestic appliance account, coordinating with client teams and offshore delivery to ensure effective execution and alignment on project goals. This role requires oversight of project extensions, development of strategic frameworks for business growth, and strong communication with stakeholders.