Tools for teams, from startup to enterprise:
Atlassian provides tools to help every team unleash their full potential
18165+ employees
Enterprise
Open for applications
Role
Who you are
BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role
Strong programming skills using Python
Working knowledge of relational databases and query authoring (SQL).
Experience 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
Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.
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).
Desirables
Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Familiarity working with Growth, Product, and engineering teams
Excelling in solving ambiguous and complex problems
What the job involves
You’ll partner with the data analytics and data scientist team 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.
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.