Publicis Health Media

Company description

Publicis Sapient is a world leading digital transformation partner that helps established organisations rethink and transform the way they work and serve their customers. Through our 20,000+ people in 53 offices around the globe, we fuse strategy, customer experience, and technology to solve cutting edge problems in &ldquoThe Brave Pursuit Of Next&rdquo.

What Makes Publicis Sapient Different?

We are not just another fusty boring technology consultancy. We were born digital and are leading the global customer centricity revolution. This DNA underpins a contemporary, collaborative, transparent, and egalitarian culture. We are also growing like the clappers. Our Australian business has doubled in size in 2 years, but we are still small enough to have the flexibility to move between industries and crafts. So we are always learning. Most importantly though, we offer fulfilling careers. Our diverse capabilities, industries, and geographies, ensures our people can shape their own distinctive path.

Overview

Role Summary:

As a Senior Associate, Data Engineering at Publicis Sapient, you will architect and implement innovative solutions that drive digital transformation. Your expertise will shape large-scale data ingestion, processing, storage, and analytics in mostly cloud environments. You will design and implement data models, data storage, performance optimisation, security, DevOps, and test automation solutions.

This role requires a hands-on approach, working collaboratively with other Data specialists in a culture that values continuous learning and knowledge sharing.

Responsibilities

Key Responsibilities:

• Work closely with our clients, designing solutions for data platforms, with a focus on ETL, ELT, ALT, lambda, and kappa architectures.
• Build prototypes and solutions for cloud, on-prem, hybrid, and edge-based data platforms.
• Create and maintain infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager.
• Collaborate with other team members on design patterns, data governance, DevOps, testing, and performance optimisation

Qualifications

Must-Have:

• Deep understanding of modern Data Architecture and its application to business transformation.
• Expertise in cloud-native architectures, with practical experience in hyperscaler platforms.
• Experience designing, building, and optimising scalable data pipelines and distributed systems in Snowflake and/or Databricks.
• Expertise in Python and SQL, with deep knowledge of performance tuning, sharding, partitioning, and indexing.
• Understanding of database technologies, including relational, NoSQL, and cloud-native storage solutions.
• Experience in CI/CD, automated testing, and cloud infrastructure-as-code.
• Excellent written, verbal, numerical, and presentation skills.
• Willingness to travel and work on client sites to deliver exceptional, high-impact services.

Additional information

Nice-to-Have:

• Experience in two or more of the following industries: Banking, Insurance, Wealth, Retail, Public Sector.
• Experience in both established and challenger professional services firms, with an entrepreneurial and growth mindset.