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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.
Job Responsibility:
Help our partner teams ingest data faster into our data lake
Make our data products more efficient
Build self-serve data engineering within the company
Build micro-services, architecting, designing, and promoting self serve capabilities at scale
Requirements:
At least 7+ 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)
Nice to 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)
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