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Snowflake Data Engineer Job Opening In Auckland – Now Hiring Accenture New Zealand


Job description

Accenture is a leading global professional services company.
We believe in inclusion and diversity and supporting the whole person.
Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.
Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.
Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live.

It is personal to all of us.

-Julie Sweet, Accenture CEOFind out more about us at accenture.comAs a team:The Data and AI revolution is changing everything.
It's everywhere - transforming how we work and play.
Join Accenture and help transform leading organizations and communities around the world.
Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries.
The sheer scale of our capabilities, client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.Accenture's Data and AI practice covers the range of Data and AI skills across all domains of data governance & quality, cloud & traditional data engineering and visual insights & next generation user interfaces.
When combined with Accenture's broader Strategy and Consulting and Technology businesses, we are able to bring together the unique end to end business changes through the application of Data and AI.You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.
We have access to world leading assets, training and experts to help your career thrive and grow.In our team you will learn:At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.Become an integral part of our D&AI team with the credibility, expertise and insight clients depend on.You will be working with famous brands and household names – tackling some of the most challenging industry, community and national problems.As a Snowflake Data Engineer, you will have demonstrated experience:Design and implement scalable and efficient data architectures using Snowflake.Collaborate with stakeholders to understand business requirements and translate them into technical solutions.Provide technical leadership and guidance to development teams on Snowflake best practices.Partner with senior technical and business leaders to build relationship and gather and define requirements, including providing presales support, and solutioning projectsWork with Data Architects and Modellers to advise on relevant, effective and efficient solutionsWe are looking for a strong background/experience in the following skills:Designing and implementing a fully operational production-grade large-scale data solution on Snowflake Data Warehouse.Strong experience in designing and implementing data models (star, snowflake schema) and data warehouse best practices tailored for SnowflakeKnowledge of Snowflake's security features like role-based access control (RBAC), data masking, encryption, row access policies, and compliance with regulatory frameworks (GDPR, HIPAA, SOC2)3 years of hands-on experience with building productionized data ingestion and processing pipelines using DBT, Spark, Scala, PythonExpertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologiesExcellent presentation and communication skills, both written and verbalAbility to problem solve and architect in an environment with unclear requirements.Set yourself apart:Demonstrating your learning abilities and passion to continue to learn and grow – we believe in #LetThereBeChange and look to you to be on that journeyAbility to problem solve and network to discover the right solutions in creative waysAbility to manage stakeholders, through active partakingExperience working on multi-discipline software projects & ideally large-scaleTrack record of delivering robust, automated data solutions at scaleExperience in complex data engineering projects / engagementsQualification:Bachelor's degree in computer science, Engineering, Technical Science or 3 years related build experience with large scale solutions.Client facing experience working with IT and Business stakeholders
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Unlock Your Snowflake Data Potential: Insight & Career Growth Guide


Real-time Snowflake Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Snowflake Data in Auckland, New Zealand, highlighting market share and opportunities for professionals in Snowflake Data roles.

2286 Jobs in New Zealand
2286
229 Jobs in Auckland
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Download Snowflake Data Jobs Trends in Auckland and New Zealand

Are You Looking for Snowflake Data Engineer Job?

Great news! is currently hiring and seeking a Snowflake Data Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Accenture New Zealand adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying New Zealand laws and regulations

What Is the Average Salary Range for Snowflake Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Auckland. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Snowflake Data Engineer?

Key qualifications for Snowflake Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Snowflake Data Engineer?

To improve your chances of getting hired for Snowflake Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Snowflake Data Engineer Job Success

Accenture New Zealand interview tips for Snowflake Data Engineer

Here are some tips to help you prepare for and ace your Snowflake Data Engineer job interview:

Before the Interview:

Research: Learn about the Accenture New Zealand's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Snowflake Data Engineer interview at Accenture New Zealand, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Accenture New Zealand's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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