Ingrity3 followers9 jobs

Data Engineer | Snowflake Implementation

Mid levelSeniorFull-timeHybridSydney NSW, AustraliaPosted 3 months agoVerified 1 week ago
Pending fitX of Y criteria met

About the job

This Data Engineer job focuses on leading a Snowflake implementation from the ground up, providing an exciting opportunity to design scalable data platforms. By collaborating closely with stakeholders, you will turn complex data requirements into production-ready solutions, shaping the architecture and setting best practices for a modern data environment. The team values flexibility and impact, offering options for both contract and permanent engagements.

Meet the team

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You'll be responsible for

🚀

Leading Snowflake implementation

Lead the end-to-end Snowflake implementation, from initial design through to production rollout
🏗️

Designing data architectures

Design and build scalable data warehouse/lakehouse architectures on Snowflake
🔧

Developing ETL/ELT pipelines

Develop and optimise ETL/ELT pipelines using tools such as dbt, Airflow, Fivetran, Matillion, or similar

Key criteria

☁️

Snowflake implementation experience

Strong hands-on experience delivering Snowflake implementations or migrations.

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🔍

SQL and Python proficiency

Deep experience with SQL and strong proficiency in Python.

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📊

Data modeling expertise

Experience designing data models for analytics and reporting use cases.

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A meaningful career starts with a match

Think you're a good fit?See what the hiring team are looking for

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5 criteria for this job
Snowflake implementation experience
Strong hands-on experience delivering Snowflake implementations or migrations.

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SQL and Python proficiency
Deep experience with SQL and strong proficiency in Python.

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Data modeling expertise
Experience designing data models for analytics and reporting use cases.

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Familiarity with modern data tools
Knowledge of tools like dbt, Airflow, and CI/CD for data.

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Cloud environment experience
Experience working in AWS, Azure, or GCP cloud environments.

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