Principle Data Engineer

Principle Data Engineer
Company:

Atlassian


Place:

Australia


Job Function:

Science

Details of the offer

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.
You have 12+ years of experience as an individual contributor in a Data Engineer role.
You have at least two years of experience as a tech lead for a Data Engineering team.
You are an engineer with a track record of driving and delivering large (multi-person or multi-team) and complex efforts.
You are a great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success.
Experience with building streaming pipelines with a micro-services architecture for low-latency analytics.
Experience working with varied forms of data infrastructure, including relational databases (e.g.
SQL), Spark, and column stores (e.g.
Redshift). Experience building scalable data pipelines using Spark with Airflow scheduler/executor framework or similar scheduling tools.
Experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink Hive, or Kafka).
Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a "Streaming First" mindset to drive Atlassian's business growth and improve the product experience.
We'd be super excited if you have: Built and designed Kappa or Lambda architecture data platforms and services.
Experience implementing Master Data Management (MDM) solutions.
Built pipelines using Databricks and is well-versed with their APIs.
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.
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.
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Source: Jobrapido_Ppc

Job Function:

Requirements

Principle Data Engineer
Company:

Atlassian


Place:

Australia


Job Function:

Science

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