In-Demand Snowflake data engineer Jobs

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini —Melbourne VIC
- DevOps
- Administrative experience
- SQL
5d
Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini Sogeti —Sydney NSW
- DevOps
- Administrative experience
- SQL
5d
Staff/Lead Data Engineer
EQL —Cremorne VIC
- $180,000 - $220,000 a year
- Full-time
- Hybrid work
- Master's degree
- AWS
- Communication skills
- Annual leave
- Parental leave
Quick Apply
5d
Lead Data Engineer / Architect | GCP, BigQuery & DBT
Deloitte —Sydney NSW
- Salesforce
- SQL
- AI
- Parental leave
3d
Senior Data Engineer
RMIT University —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AWS
- University
6d
Staff Software Engineer - CommBiz Mobile & Insight crew
Commonwealth Bank —Sydney NSW
- Full-time
- Azure
- AWS
- APIs
5d
Specialist Data Compliance
The Perth Mint —Perth Eastern Suburbs WA
- $130,000 - $135,000 a year
- Full-time
- Azure
- SQL
- Employee assistance program
- Employee discount
Senior Engineering Manager / Chapter Lead (Data Engineering)
Commonwealth Bank —Sydney NSW
- Full-time
- SQL
- AWS
- Financial services
9d
Azure Cloud Platform Engineer
Cognizant —Brisbane QLD
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Principal - Technical Business Analyst, Data Products & Platforms
Simple Machines —Sydney NSW
- Hybrid work
- Azure
- ERP systems
- SQL
Quick Apply
Senior AI Engineer
Moose —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Systems design
- Master's degree
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Lead Data Engineering Consultant
Ippon Technologies —Melbourne VIC
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick Apply
Senior Data Technical Lead
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Systems design
10d
Forward Deployed Engineer
Salesforce —Sydney NSW
- Full-time
- Computer Science
- Salesforce
- APIs
Graduate Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer science
- Computer Science
- SQL
Quick Apply
Planning Analytics Engineer
Pyramid Global Technologies —Sydney NSW
- Administrative experience
- SQL
- Communication skills
Delivery Lead - Data & AI
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Engineering
- AWS
10d
Senior Forward Deployed Engineer
Salesforce —Sydney NSW
- Full-time
- Computer Science
- Salesforce
- DevOps
9d
Database Engineer
ELMO Software Pty Ltd —Sydney NSW
- Full-time
- Hybrid work
- SQL
- AWS
- AI
- Parental leave
- Employee assistance program
Quick Apply
9d
Director Technology - Data Platforms
Simple Machines —Sydney NSW
- Hybrid work
- Azure
- AWS
- AI
Quick Apply

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

Capgemini -
Melbourne VIC

Apply Now

Job Details

5 days ago

Qualifications

CI/CD
Data modelling
DevOps
Git
Administrative experience
SQL
AWS
Security
S3
Redshift
AI

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

About the Service Line:

Capgemini Global Insights & Data business line is a market leader in Data Engineering, Cloud Data Platforms, Data Science, and AI and Advanced Analytics across all sectors including financial services, public sector, consumer products, telecommunication & energy resources. Our offerings include end-2-end data integration to cloud platforms, complete suite of data engineering capabilities and a category of sector-based advanced analytics and AI driven solutions.

This is a unique opportunity within the Insights & Data (I&D) Global Business Line (GBL) to help grow the data, AI and Data Science engagements across all sectors in Australia and New Zealand. You will help shape and deliver complex projects and programs of work for our clients. You will understand our client’s need to bring maximum value, impact, and innovation to the market as you oversee the delivery of client engagements for data and AI initiatives.

Let’s talk about the roles and responsibilities:

Design, develop, and maintain scalable real-time, event-driven, CDC-based, and batch data pipelines on AWS and Snowflake to support analytics.
Build and optimize data ingestion frameworks leveraging streaming technologies, event-based architectures, and Change Data Capture (CDC) patterns.
Develop and manage cloud-native data solutions preferably AWS that ensure high availability, reliability, scalability, and performance.
Optimize Snowflake data models, queries, workloads, and storage strategies to improve performance and cost efficiency.
Implement and maintain robust data quality, data governance, security, privacy, and compliance controls across the data platform.
Design and manage ETL/ELT processes for integrating data from multiple internal and external sources.
Automate infrastructure provisioning, testing, deployment, and monitoring using CI/CD pipelines and Infrastructure-as-Code practices.
Collaborate closely with solution architects, application development teams, data scientists, business analysts, and key stakeholders to deliver data solutions aligned with business objectives.

Experience and Qualifications:

Strong hands-on experience with Python and SQL for data engineering, transformation, and automation.
Extensive experience designing and implementing data solutions on AWS- including services such as S3, Glue, Lambda, EMR, Kinesis, MSK, Flink EventBridge, Redshift, Step Functions, and related data services.
Strong expertise in Snowflake, including data modelling, performance tuning, workload optimization, security, and administration.
Experience building real-time streaming, event-driven, and CDC-based data ingestion architectures.
Solid understanding of ETL/ELT frameworks, distributed data processing, and modern data engineering patterns.
Experience with DevOps practices, CI/CD pipelines, version control systems (e.g., Git), and infrastructure automation.
Knowledge of data governance, data quality frameworks, metadata management, security, and compliance requirements.
Experience working with large-scale structured and unstructured datasets in cloud environments.

What You’ll Love About Working Here:

Exposure to transformational programs in AI & Data portfolio.
Career growth through learning platforms, certifications, and global mobility.
Inclusive culture backed by our “Inclusive Future for All” commitment.
Competitive total rewards and recognition programs.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

Apply Now

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snowflake data engineer jobs

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

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

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