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Data Engineer

Mid levelSeniorFull-timeHybridSydney NSW, AustraliaPosted 4 months agoVerified 1 week ago
Pending fitX of Y criteria met

About the job

The Senior AWS Data Engineer job is an exciting opportunity to lead the design and development of advanced data solutions at ASX. This position plays a crucial role in driving the architecture and optimisation of scalable data pipelines, ensuring seamless integration of diverse data sources. The team thrives on collaboration, mentorship, and a commitment to creating a fair and dynamic marketplace.

Meet the team

About the company

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You'll be responsible for

🤝

Collaborating with stakeholders

Embedded within one of our line-of-business data and reporting teams, you will collaborate with stakeholders to understand their data objectives and champion the use and evolution of the central data platform.
👥

Working within a data product team

You will work within a domain-aligned data product team consisting of line-of-business data owners and SMEs working alongside engineering resources provided by Technology.
📏

Designing data standards

You will form part of a data engineering practice and community that will design and drive the adoption of standards, frameworks and best practices.

Key criteria

☁️

AWS services expertise

Deep experience with various AWS services for data management.

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📊

Data modelling knowledge

Understanding of structuring data in a data warehousing environment.

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🔧

Data product architecture experience

Solid background in designing scalable data solutions.

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A meaningful career starts with a match

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5 criteria for this job
AWS services expertise
Deep experience with various AWS services for data management.

View

Data modelling knowledge
Understanding of structuring data in a data warehousing environment.

View

Data product architecture experience
Solid background in designing scalable data solutions.

View

Real-time streaming experience
Experience with Confluence Kafka and AWS services for streaming.

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Proficiency in Python and Spark
Solid experience in Python, Spark, and automation tools.

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