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Atlassian

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We're a team of 7000+ Atlassians supporting an international group of 250,000+ customers. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned.


 

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Associate Data Engineer

Atlassian

Bengaluru, Karnataka, India

Posted: 2 days ago

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 collaborate with 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. 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 Minimum Qualifications / Your background: Bachelor’s degree (or equivalent work experience) in a STEM field Proficiency in Python or other modern programming language development experience Proficiency in SQL and relational databases experience Desirable Qualifications: Post-graduate degree (or equivalent work experience) in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science) and 1-2 years of work experience in Data Engineering or related field An understanding of the SaaS business model and data structures Experience in Enterprise Software product development