Jobs at Fractal

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

The Engagement Manager will oversee financial modeling, forecasting for healthcare finance, develop business cases, and manage data insights. Responsibilities include establishing cost models, quantifying automation impacts, and ensuring compliance with healthcare regulations while also managing stakeholder relationships and reporting.

Fullstack Engineer responsible for developing and maintaining web applications, integrating backend and frontend systems, and collaborating with cross-functional teams for data decision projects.

Seeking a Senior Data Scientist skilled in GenAI/LLMs to design and implement solutions for enterprise, conducting research and mentoring others.

The GCP Engineer focuses on developing large scale data engineering solutions using GCP, including data pipelines and ETL processes for Fortune clients.

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

The Data Modeller will design data models, conduct reviews, collaborate with data teams, and maintain industry knowledge to enhance systems.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

As an Azure Data Engineer, you will develop solutions for large-scale projects, utilizing Azure technologies and software engineering practices to innovate and maintain data services.

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.

Consult, design, and operationalize large-scale enterprise data solutions on AWS, modernize data platforms, and mentor engineers. Requires expertise in AWS and data pipeline development.

The Lead Architect will evaluate technology, create best practices, and ensure smooth project deliveries while collaborating with data teams. Requires expertise in GCP and data solutions.

Responsible for developing and maintaining web applications using React and Python, collaborating with teams to ensure project success.

Lead AI-driven initiatives for Fortune 50 Pharma clients, managing teams and ensuring project success while driving revenue growth and client satisfaction primarily through analytics and cloud engineering.

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

The Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality and collaborating across teams to prioritize data needs.

Lead AWS data architect responsible for designing, building and operationalizing large-scale enterprise data platforms and pipelines on AWS. Re-architects on-premises stores to cloud, mentors engineers, runs client workshops, and delivers proofs-of-concept using Spark, Databricks, Glue, Redshift, Snowflake and related AWS services.

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

The Engagement Manager will lead client relationships, manage project delivery, drive sales growth, and guide consulting teams, focusing on measurable business outcomes.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.