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.
Your future team
You will be part of a world-class Data Engineering team that leverages data to drive insights about our products and customers. The Data Engineering team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian's customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments.
In this role,:
- You'll partner with the data analytics and data science teams to build the data solutions that allow them to obtain more insights from our data and use that to support important business decisions.
- You'll work with different stakeholders to understand their needs and architect/build the data models, data acquisition/ingestion processes and data applications to address those requirements.
- You'll add new sources, code business rules, and produce new metrics that support the product analysts and data scientist.
- You'll be the data domain expert who understand all the nitty-gritty of our products.
- You'll own a problem end-to-end. Requirements could be vague, and iterations will be rapid
- You'll improve data quality by using & improving internal tools/frameworks to automatically detect DQ issues.
- Build durable relationships between the data producing teams and teams that build insights.
Minimum Qualifications / Your background:
- BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role
- 10+ Years of progressive experience in building scalable datasets and reliable data engineering practices.
- Proficiency in Python, SQL, and data platforms like DataBricks
- Proficiency in relational databases and query authoring (SQL).
- Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements.
- Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization
- Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.
- Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).
- Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
- Well versed in modern software development practices (Agile, TDD, CICD)
Desirable Qualifications
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
- Familiarity working with Core engineering datasets like Monitoring, Observability, Performance, Reliability, etc..
- Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
