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Data Operations Engineer

hace 2 meses

Veracruz, Veracruz-Llave, México Brightcove, Inc. A tiempo completo
Job Title: Senior Data Operations Engineer

At Brightcove, Inc., we are seeking a highly skilled Senior Data Operations Engineer to join our team. As a key member of our data platform team, you will play a critical role in ensuring the reliability, scalability, and performance of our data platforms.

Key Responsibilities:
  • Monitoring and Dashboards: Design and implement monitoring dashboards to track system performance, data pipeline health, and application metrics using tools like DataDog, Grafana, and Monte Carlo.
  • On-Call Duties and Production Support: Provide on-call support to address and resolve production incidents related to data platforms and infrastructure, and implement solutions to prevent recurrence of issues.
  • CI/CD Pipeline Management: Develop and manage CI/CD pipelines using Jenkins and other relevant tools to automate deployment processes for data applications and infrastructure.
  • Capacity Planning: Conduct capacity planning to anticipate future needs and scale infrastructure accordingly, using performance data to make informed recommendations on scaling and resource allocation.
  • System Reliability and Scalability: Ensure system reliability and scalability by implementing best practices in infrastructure management and performance tuning, collaborating with engineering teams to design and deploy scalable and resilient data solutions.
  • Infrastructure as Code (IaC): Use Terraform for provisioning and managing cloud infrastructure, ensuring that infrastructure changes are consistent, repeatable, and version-controlled.
  • Cross-Functional Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and product managers, to align on data platform requirements and deliver solutions that support business objectives.
  • DevOps Mindset: Embrace a DevOps mindset to foster a culture of continuous improvement and operational excellence, applying automation and monitoring techniques to streamline workflows and enhance system performance.
  • Problem Prevention: Engage in problem prevention activities, including capacity planning, creating runbooks, and automating runbooks for known issues to drive self-healing capabilities.
Requirements:
  • Demonstrated experience with Google Cloud Platform (GCP) and Amazon Web Services (AWS) for deploying and managing cloud-based data solutions and infrastructure.
  • Proficiency in Python and Java for scripting, automation, and developing custom solutions.
  • Strong understanding of API integrations and batch data processing, with experience with data orchestration tools such as Airflow and DBT.
  • Hands-on experience with monitoring and observability tools like DataDog, Grafana, and Monte Carlo, and familiarity with Kubernetes for container orchestration and deployment.
  • Experience with Terraform for managing cloud infrastructure as code.
  • Experience with various relational and non-relational databases, including their management and optimization.
Qualifications:
  • Minimum of 5 years of experience in a similar role, combining SRE and data operations responsibilities.
  • Proven track record of managing data platforms and infrastructure in cloud environments (GCP and AWS).
  • Strong background in programming with Python and Java, as well as expertise in API and batch data workflows.
  • Hands-on experience with SQL and dbt for data transformation and modeling.
  • Experience with testing and quality assurance processes for data accuracy and system reliability.
  • Experience with CI/CD pipelines and relevant tools such as Jenkins.
  • Proficiency with Terraform for infrastructure management.
  • Demonstrated ability to work effectively in cross-functional teams and to manage production support and incident response.