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We are seeking a highly skilled Data Engineer with expertise in Azure Data Factory to join our team at Capgemini. As a Data Engineer, you will play a critical role in designing, developing, and implementing data pipelines and architectures that drive business value for our clients.
Key Responsibilities- Design and develop data pipelines using Azure Data Factory, ensuring high-quality data processing and efficient data movement.
- Collaborate with cross-functional teams to identify business requirements and develop data solutions that meet those needs.
- Develop and maintain data architectures, ensuring scalability, reliability, and security.
- Work with data engineers and scientists to design and implement data analytics solutions.
- Stay up-to-date with the latest Azure Data Factory features and best practices, and apply that knowledge to improve our data processing capabilities.
- 9+ years of experience in a Data Engineer role, with 4+ years of relevant experience in Azure Data Factory.
- Hands-on experience with Stream Analytics, SQL DW, Cosmos DB, Analysis Services, Azure Functions, and Serverless Architecture.
- Technical expertise with relational SQL/NoSQL databases, file handling, and API integrations.
- Good background with object-oriented/object function scripting languages: Python, SQL, Scala, etc.
- Strong problem-solving skills, with the ability to analyze complex data issues and develop effective solutions.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- A competitive compensation and benefits package.
- A collaborative environment that embodies and holds the following stated values close to heart: Honesty, Boldness, Trust, Freedom, Team Spirit, Modesty, and Fun.
- A deeply multicultural organization with a presence of over 340,000 professionals in Mexico.
- A comprehensive on-boarding program and career development opportunities.
