Jobs at Fractal

Design and implement solutions using Large Language Models, conduct research in generative AI, develop code libraries, and collaborate with teams on software deployment and maintenance.

The Senior Consultant will leverage SQL and Tableau to create BI solutions, translating business needs into interactive dashboards and reports, ensuring data accuracy, and collaborating with stakeholders.

The role involves leading Azure architecture engagements, designing cloud-native solutions, mentoring teams, and collaborating with various stakeholders to optimize cloud adoption and security.

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.

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 a team of data scientists in developing and deploying machine learning models, ensuring code quality, documentation, and smooth industrialization of projects.

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.

Design and implement data solutions on Azure, optimize data processing frameworks, enforce governance policies, and enable BI reporting while collaborating with teams.

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

The role involves designing and building data systems using various technologies, especially within Microsoft Azure, and requires experience in system integration and data warehousing.