Snowflake Data Engineer

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“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 CEO

Find out more about us at accenture.com

As 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 projects

Work with Data Architects and Modellers to advise on relevant, effective and efficient solutions

We 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 Snowflake

Knowledge 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, Python

Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies

Excellent presentation and communication skills, both written and verbal

Ability 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 journey

Ability to problem solve and network to discover the right solutions in creative ways

Ability to manage stakeholders, through active partaking

Experience working on multi-discipline software projects & ideally large-scale

Track record of delivering robust, automated data solutions at scale

Experience in complex data engineering projects / engagements

Qualification :

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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