Data Solutions Architect - AWS

3 days ago

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Provectus

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Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

Mobile applications • DevOps • Enterprise Software • R&D • eCommerce

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Provectus, is a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning. • With a focus on helping businesses unlock the power of their data, we leverage the latest technologies to build innovative data platforms that drive results. • Our Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries. • Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering. • As a Data Solutions Architect, you will lead the design, architecture, and implementation of large-scale data solutions for our clients. • You will act as a strategic technical leader, collaborating with cross-functional teams to deliver innovative data platforms that drive business value.

🎯 Requirements

• Experience in data solution architecture. • Proven experience in designing and implementing large-scale data engineering solutions on AWS. • Experience with Databricks, GCP, or Azure solutions is required. • Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS. • Proficient in programming languages like Python, SQL, and Scala. • Experience with data warehousing, ETL processes, and real-time data streaming. • Familiarity with open-source technologies and tools in data engineering. • AWS Certified Solutions Architect – Professional (or similar) is required. • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders. • Strong leadership and project management skills. • Ability to work collaboratively in a cross-functional team environment.