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The Data Engineer is responsible for implementing data ingestion pipelines using Azure services, developing scalable frameworks for data processing, and managing SQL Server databases in the Azure environment. Tasks include data modeling, ensuring data quality, and effective customer communication. The role requires proficiency in cloud solutions and ETL tools, along with the ability to work both independently and in teams.

As a Big Data Engineer with GCP, you will develop IT solutions, ensure compliance with standards, investigate technical issues, and collaborate on data strategies. You will manage stakeholders and lead delivery teams, demonstrating analytical skills and proposing improvements through proof of concepts.

This role involves designing and developing the entire GCP data ecosystem for clients, including cloud-based infrastructure. Responsibilities include gathering and documenting requirements, troubleshooting complex problems, data modeling, and collaborating with cross-functional teams while maintaining high-performance databases.

The Marketing Technology & Content Specialist manages marketing content to enhance the development of marketing assets. Responsibilities include overseeing applications in the Product Data and Content ecosystem, problem-solving for system integrations, writing functional specs, and ensuring effective data integration practices while supporting multiple concurrent projects.

The Platform Architect will design and develop scalable, resilient platform systems for a SaaS company, focusing on cloud infrastructure and automation. Responsibilities include leading infrastructure automation, integrating build tools, designing AWS environments, optimizing cloud costs, and mentoring engineering teams.

The Cloud Ops Engineer will support AWS and Linux/Windows environments, focusing on infrastructure automation, production lifecycle maintenance, and ensuring 24x7 service uptime for the ARCOS platform. Responsibilities include database administration, tooling development, and collaborating with various teams to manage scalable, secure solutions effectively.

The Senior Data Engineer/Data Architect will implement and manage data ingestion pipelines using Azure. Responsibilities include developing frameworks for data processing, designing SQL Server databases, performing data modeling, and integrating various data systems while ensuring quality and consistency. Excellent communication skills and advanced technical knowledge in Azure services are essential.