Cloud Data Platform Engineer

We are seeking a skilled Cloud Data Platform Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining cloud-based data solutions that support our business objectives. You will work closely with cross-functional teams to ensure the reliability, scalability, and performance of our data platforms.

Key Responsibilities:

• Design and implement data pipelines using Azure Data Services, including Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure Synapse Analytics.
• Develop and maintain data workflows and dataflows to ensure efficient data processing and integration.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Monitor and optimize the performance of data platforms, ensuring high availability and reliability.
• Utilize programming languages such as Python, Bash, and PowerShell for automation and data manipulation tasks.
• Implement best practices for data governance, security, and compliance within cloud environments.
• Stay updated with the latest trends and technologies in cloud data engineering and contribute to continuous improvement initiatives.

Required Skills:

• Strong experience with Azure Data Services, including ADLS, ADF, and Synapse.
• Proficiency in programming languages such as Python, SQL, and Bash.
• Familiarity with data processing frameworks like PySpark and data lake architectures.
• Knowledge of Microsoft Fabric and data lake technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

If you are passionate about cloud data engineering and have a strong background in building data platforms, we encourage you to apply and join our innovative team.