Hybrid Data Reliability Engineer

Posted 1 hour ago

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About the role

  • Data Reliability Engineer on Personal Investor Data & Analytics team responsible for ensuring data reliability and efficiency. Collaborating with various teams to identify issues and implement solutions within data pipelines.

Responsibilities

  • Proactively analyzes data pipeline & platform logs and metrics to identify trends and potential issues.
  • Participates in special projects and performs other duties as assigned.
  • Gain insights into PI Data & Analytics operations, demonstrates and champions Reliability culture and practices, builds relationships, and influences Reliability as a way of thought.
  • Exhibits proficiency in data reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other Reliability best practices.
  • Communicates progress, issues, trends, and solutions to management and partner organizations.
  • Maintains proactive knowledge and understanding of pending elevations, enhancements, and infrastructure changes.
  • Proactively identifies potential failure points and designs strategies to ensure that failures remain localized, preventing widespread disruption and contagion.
  • Collaborates with internal teams to evaluate the health, stability, and reliability of systems/platforms.
  • Collaborates with product teams in triage and troubleshooting during client impacting incidents.
  • Participates in and/or facilitates post-incident reviews for any client-impacting events local to the Personal Investor Data & Analytics products.
  • Maintains centralized incident response playbook, in collaboration with DRE Champions on each product team.
  • Collaborates with DRE Champions and/or product team points of contacts to ensure adherence to the common operating model and standard development playbooks.

Requirements

  • Minimum of five years related experience, with at least two years of development experience.
  • Undergraduate degree or equivalent combination of training and experience.
  • 1-3 years of Reliability Engineering experience.
  • 2 years of DevOps experience.
  • Strong analytic and problem-solving skills.
  • Self-motivated individual with the ability to prioritize and manage changing priorities.
  • Experience and understanding of working in AWS data engineering products, Python, and SQL.
  • Proficiency and experience in observability, and telemetry tools such as Splunk, CloudWatch, Grafana, Datadog, etc.

Benefits

  • Flexible working hours
  • Professional development opportunities

Job title

Data Reliability Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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