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Data Engineer III position at PagerDuty to join the global Enterprise Data team in IT to manage and contribute to the software and services provided to users. Responsible for designing, building, deploying, and supporting solutions for teams across PagerDuty's growing global user base. Working cross-functionally with business domain experts, analytics, and engineering teams to re-design and re-implement Data Warehouse models.
Job Responsibility:
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
Be a champion of the overall strategy for data governance, security, privacy, quality, and retention
Own and document foundational company metrics with a clear definition and data lineage
Identify, document, and promote best practices
Design, implement, and scale data pipelines that transform billions of records into actionable data models
Provide hands-on technical support to build trusted and reliable domain-specific datasets and metrics
Requirements:
5+ 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
Nice to have:
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
What we offer:
Competitive salary
Comprehensive benefits package
Flexible work arrangements
Company equity
ESPP (Employee Stock Purchase Program)
Retirement or pension plan
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent
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