Data Engineer

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession – combined with our culture of curiosity and relentlessness – enables us to accelerate our clients’ businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com

Job Description

Publicis Sapient is seeking a Data Engineer to join our dynamic team of innovative thinkers and problem solvers. In this role, you will have the opportunity to showcase your creative problem-solving skills by designing, architecting, and developing cutting-edge technology solutions. These solutions will address our clients' most intricate and demanding challenges across various industries. As we strive to revolutionize the world, your ideas, thoughts, and solutions will play a pivotal role in shaping our approach.

Your responsibilities will include designing and building integration jobs that seamlessly transfer data from existing Source of Record (SoR) applications into the Microsoft Cloud environment. Leveraging established integration patterns, tools, and languages such as Azure Data Factory, Data Brick, Spark SQL, Python, and PySpark, you will contribute to the smooth flow of data throughout the system. Join us in our mission to transform the world and make a lasting impact with your expertise and passion for data engineering.

Qualifications

• Azure Data Factory (ADF)
• Azure Data Brick
• Python 
• Spark SQL & PySpark
• Azure Synapse, Azure SQL, Azure DWH
• Azure Data Lake Storage / Analytics
• Azure Database Migration Services
• Knowledge of older integration and storage tools is beneficial (MS SQL Server, MS SSIS, IBM DataStage, etc.)
• Ability to navigate and comprehend mapping documents
• Experience with CI/CD pipelines, branching strategies, & GIT for code management
• Experience with Azure DevOps (ADO) tool for work management
• Practitioner of Agile/SAFe practices
• Experience with Job Scheduling tools

Additional Information