Company description Established in 1926, Publicis Groupe is the world’s largest communications group. Its ten areas of expertise are anchored in four core pillars: Communication, Media, Data, and Technology. It is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Visit http://www.publicisgroupe.com for more details. Overview Bachelors/ Masters in computer/allied stem engineering fields with relevant 4-6 years of proven experience as a Data Engineer, with a focus on web analytics data engineering pipelines. Hands-on experience with GCP & AWS , including its data processing and analytics services (Pubsub , Dataflow, Bigquery , Cloud functions , Cloud run , Bigtable , Glue , Redshift , S3 , SQS etc) Strong proficiency in integrating data from diverse sources using API’s. Advanced knowledge of SQL, Python, and Bash scripting is essential. Demonstrated ability to execute end-to-end projects, showcasing effective project management and technical skills. Excellent problem-solving abilities, with a keen eye for detail and a commitment to high-quality outcomes. Strong communication skills, with the ability to convey complex technical concepts in a clear, concise manner Responsibilities Key Responsibilities: Design and implement robust, scalable data engineering pipelines within GCP, tailored for web analytics. Integrate a variety of marketing & enterprise data sources, including AWS Aurora , SAP and Salesforce ensuring seamless data flow and accessibility. Execute at least 1-2 end-to-end data engineering projects, from conceptualization to deployment, demonstrating project management and technical prowess. Employ advanced SQL, Python, and Bash scripting to optimize data processing, analysis, and automation tasks. Collaborate with cross-functional teams to identify data needs, design solutions, and enhance data-driven decision-making capabilities. Maintain and ensure the integrity and reliability of data pipelines, implementing best practices in data security and compliance.