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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