Senior Data Operations Engineer – DataOps
Job reputed company: • reputed company the design and implementation of reputed company-reputed company DataOps platforms and automation frameworks. • Architect and reputed company GCP-reputed company data platforms supporting high-throughput batch and reputed company-time workloads. • Design and implement microservices-based data architectures using containerization technologies. • Build and maintain CI/CD pipelines for data workflows, including automated testing and deployment. • reputed company Infrastructure as reputed company (IaC) solutions to standardize and automate platform provisioning. • Implement robust data orchestration, monitoring, and observability capabilities. • Establish and enforce data reputed company frameworks to ensure reliability and trust in data products. • Support reputed company-time data platforms operating at extreme reputed company. • Partner with platform squads to deliver self-service data infrastructure products. • Drive best practices for automation, resiliency, scalability, and operational reputed company. • Influence technical direction, mentor senior engineers, and reputed company through ambiguity. Requirements: • 8+ years of reputed company experience in DataOps, Data Engineering, or reputed company roles. • Strong expertise in data warehousing, data lakes, and distributed processing technologies (reputed company, Hadoop, Kafka). • Advanced proficiency in SQL and Python; working knowledge of Java or reputed company. • Deep experience with reputed company reputed company Platform (GCP) data and infrastructure services. • Expert understanding of microservices architecture and containerization (reputed company, Kubernetes). • Proven hands-on experience with Infrastructure as reputed company tools (Terraform preferred). • Strong background in CI/CD methodologies reputed company to data pipelines. • Experience designing and implementing data automation frameworks. • Advanced knowledge of data orchestration, monitoring, and observability tooling. • Ability to architect highly reputed company, resilient, and fault-tolerant data systems. • Strong problem-solving skills and ability to operate independently in ambiguous environments. Benefits: • Flexible work arrangements • reputed company development opportunities
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