Join Ingenious Lion, a Digital Tech Hub designed exclusively for Publicis Groupe, to design and maintain backend services and data pipelines powering a unified marketing intelligence and automation platform used across marketing channels. This hands-on, individual-contributor role writes production-grade Python code, builds and operates Databricks and PySpark pipelines, and tackles distributed-systems and data-engineering challenges daily. Responsibilities include building data pipelines in Databricks and PySpark with Bronze/Silver/Gold medallion architecture, data quality checks, schema enforcement, and lineage tracking; designing and optimizing ETL/ELT workflows to ingest, transform, and serve marketing performance data at scale; developing backend services and APIs in Python (FastAPI, Flask) within a microservices architecture and ensuring robust service communication (REST, gRPC, event-driven); implementing secure authentication, authorization, rate limiting, and multi-tenant access controls; writing clean, maintainable production code, participating in code reviews, and mentoring peers; building CI/CD pipelines and IaC environments (Docker, Kubernetes, CloudFormation or equivalents) with tracing, logging, metrics, and alerting; optimizing for latency, concurrency, throughput, and cost; collaborating with SRE on SLIs/SLOs; and working with product, data, and SRE teams on backend designs across campaign activation domains. Qualifications include at least five years of experience in backend engineering, data engineering, or distributed systems; strong Python skills with F

Join Ingenious Lion, a Digital Tech Hub designed exclusively for Publicis Groupe, to design and maintain backend services and data pipelines powering a unified marketing intelligence and automation platform used across marketing channels. This hands-on, individual-contributor role writes production-grade Python code, builds and operates Databricks and PySpark pipelines, and tackles distributed-systems and data-engineering challenges daily. Responsibilities include building data pipelines in Databricks and PySpark with Bronze/Silver/Gold medallion architecture, data quality checks, schema enforcement, and lineage tracking; designing and optimizing ETL/ELT workflows to ingest, transform, and serve marketing performance data at scale; developing backend services and APIs in Python (FastAPI, Flask) within a microservices architecture and ensuring robust service communication (REST, gRPC, event-driven); implementing secure authentication, authorization, rate limiting, and multi-tenant access controls; writing clean, maintainable production code, participating in code reviews, and mentoring peers; building CI/CD pipelines and IaC environments (Docker, Kubernetes, CloudFormation or equivalents) with tracing, logging, metrics, and alerting; optimizing for latency, concurrency, throughput, and cost; collaborating with SRE on SLIs/SLOs; and working with product, data, and SRE teams on backend designs across campaign activation domains. Qualifications include at least five years of experience in backend engineering, data engineering, or distributed systems; strong Python skills with F