Atlassian is looking for a Senior Data Engineer to join our Go-To Market Data Engineering (GTM-DE) team which is responsible for building our data lake, maintaining our big data pipelines / services and facilitating the movement of billions of messages each day. We work directly with business teams and plenty of platform and engineering teams to ensure growth and retention strategies at Atlassian. We do this by providing metrics and other data elements which are reliable and trustworthy, as well as services and data products to help teams better self serve and improve their time to reliable insights. We are looking for an open-minded, structured thinker who is passionate about building services that scale. You will be reporting into the Senior Data Engineering Manager.
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What you'll do
As a senior data engineer in the GTM-DE team, you will have the opportunity to apply your strong technical experience building highly reliable data products. You enjoy working in an agile environment. You are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases.
On a typical day you will help our partner teams ingest data faster into our data lake, you'll find ways to make our data products more efficient, or come up with ideas to help build self-serve data engineering within the company. Then you will move on to building micro-services, architecting, designing, and promoting self serve capabilities at scale to help Atlassian grow.
On your first day, we'll expect you to have:
- At least 5+ years of professional experience as a software engineer or data engineer
- A BS in Computer Science or equivalent experience
- Strong programming skills (some combination of Python, Java, and Scala)
- Experience writing SQL, structuring data, and data storage practices
- Experience with data modeling
- Knowledge of data warehousing concepts
- Experienced building data pipelines and micro services
- Experience with Spark, Airflow and other streaming technologies to process incredible volumes of streaming data
- A willingness to accept failure, learn and try again
- An open mind to try solutions that may seem impossible at first
- Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)
It's preferred, but not technically required, that you have:
- Experience building self-service tooling and platforms
- Built and designed Kappa architecture platforms
- A passion for building and running continuous integration pipelines.
- Built pipelines using Databricks and well versed with their API's
- Contributed to open source projects (Ex: Operators in Airflow)
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/perksandbenefitsto 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.