Senior Data Engineer - B2B - Full Remote at AMS Accelerate IT | Torre
Senior Data Engineer - B2B - Full Remote
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AMS Accelerate IT

Senior Data Engineer - B2B - Full Remote

AMS Accelerate IT
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You'll drive AI initiatives and build scalable data systems that create significant business value.
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Full-time

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Posted 3 months ago

Requirements and responsibilities

Job descriptionOwn your future Data Engineering is about designing and building reliable systems that transform and process data at scale. Our work ranges from batch pipelines that power business analytics to real-time streaming services that integrate directly with our core products. Increasingly, our team is also driving AI initiatives, ensuring they are well integrated into the platform and effectively advanced to create business value. We look for Data Engineers with experience in designing data models, building processing pipelines, and making system architecture and infrastructure decisions. If you're on the fence about whether you're a fit, we say go for it. Let's build something great together. Job requirementsMust havesStrong problem-solving skills with an emphasis on product development and automation.Data modeling expertise.Hands-on experience with Python and data management frameworks (e.g., pandas).Experience with AWS basics (S3, IAM, monitoring services).Experience designing and building scalable data pipelines.Experience in system architecture design and making infrastructure decisions.Strong communication skills, with experience working directly with senior stakeholders. Key responsibilitiesWork with stakeholders to identify opportunities for leveraging data to create business value.Design, build, and optimize scalable data pipelines and high-throughput streaming systems in production.Drive engineering efforts from concept to production with a focus on quality and automation.Collaborate with product managers and engineering teams to shape the product and data strategy.Contribute to software architecture, infrastructure automation, and key technical decisions.Ensure data quality, governance, and compliance with security standards.Develop monitoring, alerting, and reporting to ensure reliability of data systems.
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