Data Engineer II at PagerDuty

Lisbon, Lisbon, Portugal

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Digital OperationsIndustries

Requirements

3+ years of experience working in data integration, pipelines, and data modeling
Experience designing and deploying code in Data platforms in a cloud-based and Agile environment
Knowledge and experience of relational databases and being capable of writing complex SQL
Experience working with Cloud-based Data Warehousing Platform such as Snowflake or AWS, or Databricks
Experience with Python and SQL
Experience working with SQL, AWS S3, and ETL/Automation Workflow tools like Workato, etc
Preferred Qualifications
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent training, fellowship, or work experience
Knowledge of at least one Data Visualization tool, like Tableau, Power BI
Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
Smart Individual to pick up and jump into any new technology as and when needed, and a good team player
Hands-on knowledge and experience with Gen AI-related projects using some of the tools, like Snowflake, Databricks

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. Assist with initiatives to formalize data governance and management practices, rationalize our information lifecycle, and key company metrics
Own and document foundational company metrics with a clear definition and data lineage
Identify, document, and promote best practices. Contribute to the data ecosystem and build a strong data foundation for the company
Design, implement, and scale data pipelines that transform billions of records into actionable data models that enable data insights
Provide hands-on technical support to build trusted and reliable domain-specific datasets and metrics

Skills

Key technologies and capabilities for this role

Data EngineeringData PipelinesData ModelingData WarehouseETLData GovernanceData QualitySQLSaaSAnalytics

Questions & Answers

Common questions about this position

What experience level is required for the Data Engineer II role?

The role requires 3+ years of experience working in data integration, pipelines, and data modeling.

What technical skills are needed for this position?

Candidates need experience designing and deploying code in cloud-based and Agile data platforms, knowledge of relational databases with complex SQL, experience with cloud-based data warehousing like Snowflake, AWS, or Databricks, and proficiency in Python and SQL.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for the Data Engineer II role?

This information is not specified in the job description.

What kind of team and work environment can I expect at PagerDuty?

You'll join a small but growing global Enterprise Data team in IT, collaborating with kind and ambitious people in a flexible, award-winning workplace, working cross-functionally with business domain experts, analytics, and engineering teams.

PagerDuty

Incident management and response platform

About PagerDuty

PagerDuty specializes in incident management and response, providing a platform that helps organizations quickly address IT issues to minimize operational disruptions. The platform integrates with various monitoring tools to detect incidents in real-time, alerting the right personnel for swift action. This process aids in reducing downtime and maintaining service quality across sectors like technology, finance, healthcare, and retail. PagerDuty operates on a subscription-based model, offering different pricing tiers based on user count and feature levels, which ensures a steady revenue stream. The company also provides premium support and professional services, enhancing its offerings. Overall, PagerDuty aims to help organizations efficiently manage and resolve IT incidents, ensuring the reliability of their digital services.

San Francisco, CaliforniaHeadquarters

2009Year Founded

$168.9MTotal Funding

IPOCompany Stage

Consulting, Enterprise SoftwareIndustries

1,001-5,000Employees

Benefits

Health, AD&D, Disability, Vision, Life, and Dental Insurance

Paternity and Maternity Leave

Employee Assistance Program

PTO (Vacation / Personal Days)

Sick Time

Remote Work

Adoption Assistance

401(k)

Employee Stock Purchase Program

Flexible Spending Account

Student Loan Repayment Plan

Risks

Emerging AIOps platforms may erode PagerDuty's market share.

Economic downturns could affect subscription renewals and acquisitions.

Reliance on third-party integrations poses risks if partners change APIs.

Differentiation

PagerDuty integrates seamlessly with popular tools like Microsoft Teams and Slack.

Recognized as a leader in GigaOm's 2024 Radar for AIOps.

Subscription-based model ensures steady recurring revenue from diverse industries.

Upsides

Enhanced chat collaboration attracts more enterprise clients relying on Microsoft Teams and Slack.

Strategic focus on public sector and Americas sales expands market reach.

Investments by Intech and Quantbot indicate confidence in growth potential.

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