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The Platform Architect / DevOps Architect will lead DevOps capabilities for Azure, design scalable cloud infrastructure, guide Agile teams, ensure cloud security, conduct audits, and mentor teams on best practices.
The Data Engineer will focus on developing data solutions using AWS technologies and Python programming, with a strong emphasis on Pyspark. The role involves analytical skill development and leveraging services like S3, Glue, SageMaker, and Lambda for data processing.
The GCP Engineer will contribute to large-scale client business development by designing and implementing data ingestion and processing pipelines on GCP. Responsibilities include automating tasks, ensuring data quality, and participating in agile ceremonies. The role requires proficiency in Python, Java, and experience with tools such as BigQuery and Apache Beam.
As an Azure Data Engineer, you will innovate, build, and maintain technology services for data engineering projects. You will work through all phases of the software development life cycle, solving complex business problems, and require strong skills in system integration, application development, and cloud technologies, particularly Azure components.
The DevOps Architect will lead a team of Site Reliability Engineers to design and maintain scalable, reliable infrastructure on AWS, ensuring security and compliance. Responsibilities include collaborating with Agile teams, conducting audits of cloud utilization, and mentoring teams in cloud best practices.
As a Lead Data Architect for Azure, you will innovate, build, and maintain technology services to deliver large-scale Data Engineering projects for Fortune clients. You will handle team management and project delivery, develop software systems, and leverage cloud technology to enable analytics while ensuring robust architecture discussions.
The Consultant is responsible for understanding client and business requirements, contributing to business solutioning, creating project documents, conducting scrum meetings, and providing insights and recommendations through problem-solving. The role requires excellent communication skills and the ability to work independently with clients and stakeholders.
The Fullstack Developer will be responsible for developing and maintaining AWS Lex based chatbot workflows and integrating backend systems through APIs. DevOps practices using Jenkins and AWS will also be part of the role.
The Principal Data Scientist at Fractal will manage and grow a portfolio of revenue, lead strategic client relationships, advise on the latest research and best practices, and consult on Fractal's strategic direction in AI. Responsibilities include thought leadership, pre-sales & delivery, and organizational development.
The job involves working in a dynamic environment focused on customer satisfaction and company growth, encouraging enthusiasm and passion among employees.
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