Data Engineer II

hace 6 días

Santiago, Metropolitana, Chile PagerDuty A tiempo completo

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United States

Santiago

CLP 20,000,000 - 40,000,000

Be among the first applicants.

2 days ago

PagerDuty empowers teams of all kinds to do the critical work that moves business forward through the PagerDuty Operations Cloud.

PagerDuty is growing and we are looking for an experienced Data Engineer for our Data team in IT to manage and contribute to the software and services that we provide to our users. As a Data Engineer at PagerDuty, you will help lead the team responsible for designing, building, deploying, and supporting solutions for teams across PagerDuty's growing global user base. You are scrappy, independent, and excited about having a big impact on a small but growing team.

Together with the other members of the Data Platform team, you will have the opportunity to re-define how PagerDuty designs, builds, integrates, and maintains a growing set of software and SaaS solutions. In this role, you will be working cross-functionally with business domain experts, analytics, and engineering teams to re-design and re-implement our Data Warehouse model(s).

Key Responsibilities
  • Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA.
  • Partner with business domain experts, data analysts, and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy, and enable self-service.
  • Be a champion of the overall strategy for data governance, security, privacy, quality, and retention that will satisfy business policies and requirements.
  • Own and document foundational company metrics with a clear definition and data lineage.
  • Identify, document, and promote best practices.
About You: Skills and Attributes
  • You will design, implement, and scale data pipelines that transform billions of records into actionable data models that enable data insights.
  • You will help lead initiatives to formalize data governance and management practices, rationalize our information lifecycle and key company metrics.
  • You will provide mentorship and hands-on technical support to build trusted and reliable domain-specific datasets and metrics.
  • You will have deep technical skills, be comfortable contributing to a nascent data ecosystem, and building a strong data foundation for the company.
  • You will be a self-starter, detail and quality oriented, and passionate about having a huge impact at PagerDuty.
  • Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience.
  • 3+ years of experience working in data integration, pipelines, data modeling.
  • Experience designing, deploying code in Data platforms in a cloud-based and Agile environment.
  • Fluent English is required.
  • Availability to work 2 days per month in our Santiago office.

PagerDuty is a flexible, hybrid workplace . We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tell us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.

About PagerDuty

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud revolutionizes how critical work gets done, and powers the agility that drives digital transformation. Customers rely on the PagerDuty Operations Cloud to compress costs, accelerate productivity, win revenue, sustain seamless digital experiences, and earn customer trust. More than half of the Fortune 500 and more than two thirds of the Fortune 100 trust PagerDuty including Cisco, Cox Automotive, DoorDash, Electronic Arts, Genentech, Shopify, Zoom and more.

PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.

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