Senior Cloud Data Software Engineer
hace 4 semanas
About Us
BASF Digital Hub Madrid is a team of innovators who develop cutting-edge digital solutions for BASF. We create new customer experiences and drive business growth by streamlining processes and leveraging data insights. Our team is passionate about creativity, collaboration, and learning together. We strive to be a global team that values diversity and equal opportunities.
What You Can Expect
Our unit, Data Foundation - Big Data Management, aims to provide organizations with a robust and scalable solution for managing and deriving insights from vast amounts of data. By utilizing Azure's PaaS components, our platform streamlines the deployment and handling of Big Data workloads, empowering our clients to make data-driven decisions and propel business expansion. Our team is responsible for the creation and upkeep of the Big Data platform built on Azure PaaS components EDL (Enterprise Data Lake). We collaborate intensively with stakeholders to comprehend their needs and devise solutions that fulfill their expectations. The team is also accountable for ensuring the platform's scalability, reliability, and security, and for staying up-to-date with the latest technologies and trends in the big data domain.
About the Job
We are seeking a highly motivated and detail-oriented candidate who will be responsible for the Data Distribution with Databricks Unity Catalog and maintaining/developing CI/CD pipelines and processes in an ambitious team. The ideal candidate will have a strong background in data engineering, experience with Azure, and a passion for innovation and collaboration.
Responsibilities
• Design, implement, and maintain data distribution strategies using Unity Catalog with Azure Databricks and Azure Data Factory.
• Maintain and monitor data distribution across various platforms and systems with Azure Data Factory.
• Develop, extend, and optimize our data distribution pipeline.
• Implement quality control measures to ensure accuracy and consistency of data.
• Collaborate with the data science team to understand their data needs and provide suitable solutions.
• Troubleshoot data-related issues and optimize data distribution for performance and scalability.
• Develop and maintain technical documentation related to data distribution processes.
• Test new features and improvements in Unity Catalog, Azure Databricks, Azure Data Factory, and suggest their implementation if beneficial.
• Demonstrate fluent communication skills in English (spoken and written).
Qualifications
• Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields.
• Minimum 3-4 years related working experience as DataOps Engineer using Azure, Python, Azure Data Factory, and Databricks.
• Experience in Agile way of working with a DevOps mindset.
• Strong knowledge in automation & scripting with tools like Azure DevOps pipelines, Azure Data Factory, etc.
• In-depth knowledge with Big Data concepts and Databricks.
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