Capgemini4 followers45 jobs

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)

SeniorFull-timeHybridSydney NSW, AustraliaMelbourne VIC, AustraliaPosted 3 days agoVerified 12 hours ago
Pending fitX of Y criteria met

About the job

This job is about empowering professionals to shape their careers while delivering impactful data and AI solutions for clients across Australia and New Zealand. By joining the Capgemini team, you will play a crucial role in unlocking the value of technology and driving innovation in various sectors. The collaborative community fosters an inclusive culture where everyone can thrive and contribute to meaningful projects.

You'll be responsible for

🔄

Designing and developing data pipelines

Design, develop, and maintain scalable real-time, event-driven, and batch data pipelines on AWS and Snowflake to support analytics.
⚙️

Optimizing data solutions

Optimize Snowflake data models, queries, workloads, and storage strategies to improve performance and cost efficiency.
🤝

Collaborating with stakeholders

Collaborate closely with solution architects, application development teams, and key stakeholders to deliver data solutions aligned with business objectives.

Key criteria

🐍

Python and SQL expertise

Strong hands-on experience with Python and SQL for data engineering.

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☁️

AWS data solutions experience

Extensive experience designing data solutions using AWS services.

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📊

Snowflake proficiency

Strong expertise in Snowflake for data modeling and optimization.

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5 criteria for this job
Python and SQL expertise
Strong hands-on experience with Python and SQL for data engineering.

View

AWS data solutions experience
Extensive experience designing data solutions using AWS services.

View

Snowflake proficiency
Strong expertise in Snowflake for data modeling and optimization.

View

ETL/ELT framework knowledge
Solid understanding of ETL/ELT frameworks and data processing patterns.

View

DevOps practices experience
Experience with CI/CD pipelines and infrastructure automation tools.

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