In-Demand Snowflake data Jobs

Snowflake Data Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
5d
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Deloitte —Melbourne VIC
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- Parental leave
Senior Data Engineer
Duxxel Pty Ltd —Perth WA
- From $120,000 a year
- Contract
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- SQL
- Analysis skills
- Communication skills
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Specialist Director - Snowflake Data Architect | Sydney
Deloitte —Sydney NSW
- Azure
- AWS
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- Parental leave
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Beacham Group —Perth WA
- $140,000 - $180,000 a year
- Full-time
- Azure
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- Master's degree
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Data Engineer
ElectraNet —Greater Adelaide SA
- From $146,000 a year
- Azure
- Data analysis skills
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- Annual leave
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10d
Finance BI & Data Engineer
Who Gives A Crap —Melbourne VIC
- From $11,700 a month
- Full-time
- Management
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- In-person
- Health insurance
- Dental insurance
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9h
Data and Analytics Engineer
Ailo —Melbourne VIC
- Full-time
- Remote
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13d
Data Engineer
Accenture —Ballarat VIC
- Full-time
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Data Engineer - Consultant
Intelligen Group —Melbourne VIC
- $120,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
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Quick Apply
Senior Data Engineer
Virtusa Consulting & Services Pty Ltd —Sydney NSW
- $100,000 - $150,000 a year
- Full-time
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13d
Data Engineer
Aware Super —Sydney NSW
- Azure
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- Work from home
- Gym membership
Specialist Data Compliance
The Perth Mint —Perth Eastern Suburbs WA
- $130,000 - $135,000 a year
- Full-time
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- Employee assistance program
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Snowflake Lead Data Engineer
Cognizant —Sydney NSW
- Full-time
- Hybrid work
- Administrative experience
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11h
Data, AI, and Machine Learning | Multiple Opportunities Available
Deloitte —Sydney NSW
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Data Architect
Tata Consultancy Services —Greater Adelaide SA
- Azure
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Data Platform Engineer
Deloitte —Sydney NSW
- Part-time
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11d
AWS Data Engineer
Deloitte —Sydney NSW
- Salesforce
- SQL
- AWS
- Parental leave
Snowflake Developer
Tata Consultancy Services —Sydney NSW
- Azure
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Senior Data Engineer
Ippon Technologies —Melbourne VIC
- Hybrid work
- SQL
- Software development
Quick Apply

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Snowflake Data Engineer

Cognizant -
Melbourne VIC

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Job Details

Full-time
5 days ago

Qualifications

Azure
SQL
AWS
AI

Full Job Description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Our Culture
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Job Summary:
We are seeking a highly skilled Data Engineer to build, optimize, and maintain scalable data platforms and pipelines that power customer insights, personalization, analytics, and AI-driven initiatives. The ideal candidate will have strong experience in designing and delivering high-performance batch and real-time data solutions, enabling business stakeholders to derive actionable customer intelligence and support targeted marketing campaigns.

Responsibilities:
Design, develop, and maintain robust batch and real-time data pipelines to support enterprise analytics and personalization initiatives.
Build scalable data ingestion, transformation, and delivery frameworks for analytics, reporting, machine learning, and AI use cases.
Enable data readiness and accessibility for customer analytics, segmentation, audience creation, and campaign execution.
Implement and manage data quality, validation, lineage, and monitoring frameworks to ensure data accuracy, consistency, and reliability.
Collaborate closely with Data Scientists, Analytics teams, and business stakeholders to operationalize and productionize machine learning models.
Optimize data platform performance, scalability, reliability, and cost efficiency across cloud environments.

Skills Required:
5–8 yrs Data Engineering experience
Strong in Python, SQL, Spark
Experience with AWS/Azure, Snowflake, DBT
Exposure to real-time streaming (Kafka/Kinesis preferred)

Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

You can pursue innovative career tracks and opportunities here
You can enhance your professional development through education and dedicated training
We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.

Apply Now

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