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The job involves working in a dynamic environment focused on customer satisfaction and company growth, encouraging enthusiasm and passion among employees.
As a Senior Fullstack Engineer, you will architect and maintain both backend and frontend components for data projects, collaborate with data scientists, create impactful user interfaces, mentor junior engineers, and participate in project documentation and client presentations. You will also engage in troubleshooting and UAT to ensure project success.
The AWS Data Engineer will design and build end-to-end systems for clients, primarily focusing on AWS services like AWS Glue, EMR, and Kinesis. This role involves hands-on work with application architectures, automation, and integration with various AWS services, alongside developing solutions utilizing Java and Python.
As a Fullstack Engineer at Fractal, you will manage, develop, and maintain both backend and frontend for Data to Decision projects. You'll work closely with data science teams, integrate REST APIs, and create intuitive user controls in collaboration with product owners.
As a GCP Engineer, you will develop software and systems for large-scale client projects, focusing on data pipelines, transformations, and ETL orchestration. You will work with various GCP services and ensure the delivery of complex data engineering solutions.
The AWS Engineer role involves hands-on experience with AWS services, especially AWS Glue, and requires proficiency in developing automation solutions, integrating AWS services, and working with cloud-based systems. Responsibilities include managing Kafka configurations and reviewing Java applications for migration to AWS services like Lambda and Mule. Candidates should be prepared to engage in all SDLC phases and contribute to client business development.
Lead finance analytics consulting projects while developing advanced financial modeling techniques. Mentor a team, provide strategic guidance to clients, and support digital transformation in finance. Stay updated on finance and digital technologies to enhance consulting services and improve clients' financial performance.
The role involves building innovative Generative AI-based products, developing APIs for integration, experimenting with various LLMs, and optimizing their performance for scalability and accuracy.
The Cloud Data Engineer will design and build pipelines for data ingestion into BigQuery, monitor and troubleshoot data pipelines to ensure high-performance, and maintain knowledge of Data Warehousing, ETL processes, and various programming languages.
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