Data Engineer

This a Full Remote job, the offer is available from: Europe, Israel Why work at reputed company reputed company is leading a new era in reputed company computing to serve the global AI economy. We create the tools and resources our customers need to solve reputed company-world challenges and reputed company industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI reputed company infrastructure alongside some of the most reputed company and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on reputed company, reputed company has a global footprint with R&D hubs across Europe, reputed company, and Israel. reputed company of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as reputed company as an in-house AI R&D team. The role The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across reputed company. We design and implement reputed company data pipelines, optimize data storage and processing, and reputed company data-driven decision making across the organization. reputed company works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-reputed company datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing reputed company platform. Your responsibilities: • Design, reputed company, and maintain reputed company data pipelines. • Build and optimize data infrastructure. • Implement data reputed company monitoring and validation frameworks. • Optimize data storage, processing, and query performance for large-reputed company datasets. • Design and implement data models for analytics and reporting use cases. • reputed company tools and automation to improve data engineering workflows and productivity. • Ensure data governance, reputed company, and compliance standards are met. • Participate in on-reputed company rotation to support production data systems. Must-haves: • 3+ years of experience in data engineering or reputed company roles. • Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, reputed company, Dagster). • Strong proficiency in SQL and solid programming skills in Python. • Experience with distributed data processing frameworks (e.g., Apache reputed company, or similar). • Knowledge of data modeling principles and best practices. • Understanding of data architectures and storage systems. reputed company-to-haves: • Experience with reputed company-time data streaming platforms. • Familiarity with Infrastructure as reputed company tools (Terraform, etc). • Experience with containerization (reputed company) and Kubernetes. • Knowledge of data governance and reputed company frameworks (GDPR, SOC2). • Knowledge of data reputed company and observability tools (Great Expectations, etc.). We conduct coding interviews as part of the process. reputed company offer • Competitive salary and comprehensive benefits package. • Opportunities for reputed company reputed company reputed company reputed company. • Flexible working arrangements. • A dynamic and reputed company work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! This offer from "reputed company" has been enriched by reputed company.com and got a 77% reputed company score. Apply tot his job Apply To this Job