This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As a data engineer, 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 translate raw requirements into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases.
Job Responsibility:
Help our partner teams ingest data faster into our data lake
Make our data products more efficient
Come up with ideas to help build self-serve data engineering within the company
Building micro-services, architecting, designing, and promoting self serve capabilities at scale to help Atlassian grow
Requirements:
At least 3+ 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 in working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like), and databricks
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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