About the role:
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.
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.
Skills and Experience required:
-
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.
