Job Description Publicis Sapient is looking for a Senior Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future. Responsibilities Your Impact Work hands-on with clients to understand complex business challenges 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 Microsoft Azure services to build and manage modern, cloud-based data architectures. 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 Your Skills & Experience Proven experience designing and implementing data pipelines in enterprise environments using Python for data transformation. Strong hands-on experience with Azure data services, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database. Experience with both structured and unstructured data, including columnar (BigQuery, Redshift, Vertica), NoSQL (Cosmos DB, DynamoDB), and relational databases (SQL Server, Oracle, MySQL). Familiarity with ETL/ELT tools and frameworks (PySpark, Glue, Lambda, DataFlow, Spark Streaming). Solid understanding of data modeling concepts, including dimensional modeling and star/snowflake schema design. Comfortable working in code-driven environments and using tools for version control and continuous integration (e.g., Git, Jenkins). Effective communication skills and the ability to collaborate with cross-functional teams. Additional Information Set Yourself Apart With Experience in real-time streaming data integrations. Background in performance tuning and optimization of data queries and processes. Familiarity with DevOps practices in data engineering workflows. Proficiency with additional cloud platforms (AWS or GCP) #J-18808-Ljbffr