Teams at Fractal

Build and support data integration and real-time streaming platforms. Responsibilities include data modeling, transformation, cloud-based data engineering, CI/CD and DevOps practices, Kafka and CDC solutions, topic and schema management, connector and stream-processing pipelines, legacy-to-modern platform integration, data mapping, quality management, and stakeholder collaboration.

Develop and execute test strategies for data engineering and analytics solutions. Design test cases, perform SQL-based data validation, test ETL and ELT pipelines, verify analytical outputs, manage defects, conduct root cause analysis, and support automation. Collaborate with data engineers, business analysts, product owners, and business users to ensure data accuracy, quality, and production readiness.

Designs and implements end-to-end generative AI and LLM solutions, researches emerging AI techniques, develops supporting libraries and frameworks, and participates in software delivery from design through maintenance. The role applies NLP, computer vision, audio, and multimodal AI methods; uses cloud and open-source platforms; contributes to code reviews and roadmaps; and collaborates with cross-functional teams.