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