Job Description
Job Description
As a DataOps Engineer, you will operate large-scale big data platforms across hybrid (on-premises and cloud) environments, enabling reliable analytics and data-driven use cases. You will work closely with data engineers, data scientists, infrastructure, security, and business stakeholders to ensure data quality, platform stability, and operational excellence.This role focuses on building, running, and optimizing production-grade data platforms and pipelines, with strong ownership of infrastructure, automation, reliability, and operations.
Key Responsibilities
Manage On-Prem and Cloud Data Platforms
Maintain and support on-premises clusters, including compute, storage, networking, and system configurations.
Provision, configure, and manage cloud infrastructure, including AWS S3, EMR, Redshift, and RDS.
Monitor platform performance, capacity, and availability; implement operational alerts, monitoring, and runbooks.
Build, Operate & Support Data Pipeli...
As a DataOps Engineer, you will operate large-scale big data platforms across hybrid (on-premises and cloud) environments, enabling reliable analytics and data-driven use cases. You will work closely with data engineers, data scientists, infrastructure, security, and business stakeholders to ensure data quality, platform stability, and operational excellence.This role focuses on building, running, and optimizing production-grade data platforms and pipelines, with strong ownership of infrastructure, automation, reliability, and operations.
Key Responsibilities
Manage On-Prem and Cloud Data Platforms
Maintain and support on-premises clusters, including compute, storage, networking, and system configurations.
Provision, configure, and manage cloud infrastructure, including AWS S3, EMR, Redshift, and RDS.
Monitor platform performance, capacity, and availability; implement operational alerts, monitoring, and runbooks.
Build, Operate & Support Data Pipeli...
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