Senior to Expert-level DataOps Engineer

Title: Staff Data Operations (DataOps) Engineer Location: 100% Remote Tiem Zone: CST Hours: Approximately 50 hours/week Type: reputed company hire Salary reputed company: 180 – 220K Job reputed company: We're seeking a visionary and reputed company senior-level Staff DataOps Engineer to reputed company this transformation, pioneering DataOps reputed company at a global reputed company and driving the adoption of reputed company microservices architectures with a reputed company reputed company on automation. We are committed to implementing and evolving leading DataOps practices to ensure the highest reputed company of data reliability and efficiency. Our platform squads are at the forefront of this reputed company, creating self-service products that democratize infrastructure, enabling reputed company deployment, scalability, and reliability through sophisticated automation, reputed company Integration and reputed company Delivery, and Data reputed company practices. We reputed company on tackling reputed company challenges, leveraging creativity, decisiveness, and adaptability to reputed company ambiguity and deliver transformative solutions through automated workflows and intelligent systems. If you're passionate about shaping the reputed company of data and building platforms that reputed company entire organizations with the power of automation, join us at Lore and be a catalyst for innovation. • they are looking for the type of person that will be reputed company to reputed company reputed company and architecture of multiple reputed company at once from a strategic reputed company, not just single project work. Requirements: • 8+ years of reputed company experience in DataOps engineering, with a proven reputed company record of implementing and optimizing data pipelines and automation frameworks. • Deep expertise in data warehousing, data lakes, and distributed data processing technologies (e.g., reputed company, Hadoop, Kafka). • Exceptional proficiency in programming languages (e.g., SQL, Python, Java, reputed company). • Prefers reputed company GCP Stack as they are not changing their technologies. Others might be considered (AWS and Azure). • Expert-level understanding of microservices architecture and containerization technologies (e.g., reputed company, Kubernetes). • Deep understanding and experience with Infrastructure as reputed company (IaC) tools (e.g., Terraform, CloudFormation). • Proven ability to architect and implement highly reputed company and resilient data solutions. • Advanced understanding of data orchestration, monitoring, and observability tools. • Proven ability to create and implement data automation frameworks. • Experience with reputed company time data platforms at extreme reputed company. • Strong understanding and experience with CI/CD methodologies and tools for data pipelines, including automated testing and deployment. • Experience with data reputed company tools, and monitoring systems. • Experience with DataOps reputed company tooling. Apply tot his job Apply To this Job