Job Title: Senior Data Engineer Publicis Sapient is looking for a skilled professional to lead and deliver technical solutions for large-scale digital transformation projects. You will work with the latest data technologies in the industry, helping clients evolve for a more digital future. You will be instrumental in creating real business value by architecting data solutions that meet complex business challenges. Your expertise will drive innovation, and you will have the opportunity to design, develop, and deliver end-to-end data solutions. Key Responsibilities: - Work hands-on with clients to understand their business needs and architect data solutions that create real business value. - Translate business and technical requirements into system designs and implement scalable data pipelines and platforms. - Design, develop, and deliver end-to-end data solutions, including data ingestion, transformation, storage, and access layers. - Leverage your expertise in cloud-based data architectures to build and manage modern systems. - Optimize and automate data platform operations and monitor system performance post-deployment. - Conduct feasibility assessments and support estimation of timelines and resources for project planning. Qualifications: Required Skills and Qualifications: - Proven experience designing and implementing data pipelines in enterprise environments using Python for data transformation. - Proficiency with cloud dataservices and familiarity with ETL/ELT tools and frameworks such as PySpark, Databricks, and Spark Streaming. - Solid understanding of data modeling concepts, including dimensional modeling and star/snowflake schema design. - Effective communication skills and the ability to collaborate with cross-functional teams. Benefits: - Opportunity to work with the latest data technologies and drive innovation. - Chance to design, develop, and deliver end-to-end data solutions. - Collaborative work environment with experienced professionals. - Competitive compensation package. Work type: Remote.