Principal Data Engineer
Full time @Atlassian posted 1 week ago in Information Technology (IT) Shortlist Email JobJob Detail
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Job ID 24126
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Experience 4 Years
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Qualifications Degree Bachelor
Job Description
Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
You will be part of a world-class Data Engineering team, where you will:
influence product teams
inform Data Science and Analytics Platform teams
partner closely with data consumers and producers to ensure quality and usefulness of data assets
You will be involved in strategizing measurement, collecting data, and generating insights.
This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy.
In this role, you will:
Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including:
Defining metrics
Instrumenting logging
Acquiring/ingesting data
Architecting & modeling data
Transforming data
Ensuring data quality, governance, and enablement
Alerting, visualization, and reporting
Developing at scale and improving efficiency
Improving systems, processes, and partnerships
Working autonomously and adding perspective to the team
Embodying the goals of the business and team
Challenging the status quo, and driving progress across teams
Taking smart risks
Leading forward-thinking projects
Mentoring to help grow your teammates
Minimum Qualifications / Your background:
Bachelor’s / Master’s degree (or equivalent work experience) in a STEM field.
8+ Years of Experience in Data Engineering or related fields.
Proficiency in Python or other modern programming language development experience.
Proficiency in SQL and relational databases experience.
Deep understanding of data architecture end-to-end.
Working knowledge of basic statistical concepts (e.g. regressions, A/B tests, clustering, probability) and how to apply them to practical questions.
Experience working with product analytics.
Experience in driving technical initiatives impacting the entire organization.
Additional / Desirable Qualifications:
10+ Years of Experience in Data Engineering or related fields.
An understanding of the SaaS business model and data structures.
Experience in Enterprise Software product development.
Required skills
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