
Senior Data Engineer
Posted Aug 26

Posted Aug 26
This is a fully remote position, open to applicants in Brazil.
• Design and execute a comprehensive medallion architecture within Databricks.
• Ingest data into Azure Data Lake Storage Gen2 and create Bronze, Silver, and Gold layers for both batch and near-real-time data sources.
• Facilitate data ingestion from source systems into Azure, managing schema evolution, validation, and reprocessing.
• Utilize Unity Catalog for effective access control, data lineage, and governance.
• Develop and sustain CI/CD pipelines within Azure DevOps.
• Orchestrate production pipelines leveraging Databricks Workflows.
• Collaborate in platform ownership with the Analytics Engineer, ensuring clear documentation of responsibilities and timelines.
• Oversee ingestion processes, transformation logic, and the integrity and structure of the Gold layer.
• Deliver a Gold layer that supports insights, business intelligence, and assets primed for Data Science.
• Proven experience in Data Engineering, with a minimum of 3 years of practical experience in Databricks and medallion architecture within a production environment.
• Strong proficiency in Python, SQL, and PySpark.
• Previous experience with Azure Data Lake Storage Gen2, Unity Catalog, Azure DevOps, and Databricks Workflows.
• Fluent English is essential, as this position involves direct collaboration with a global program team.
• Preferred: experience in integrating Salesforce as a data source.
• Preferred: Databricks certification, such as Databricks Certified Data Engineer Professional or Associate.
• Preferred: experience in the automotive sector or in other regulated, multi-site manufacturing environments.
• Demonstrated proactivity, effective communication, ownership, and a genuine commitment to the role.
• Competitive salary and performance-based incentives.
• Comprehensive health and wellness programs.
• Opportunities for professional development and growth.
• Flexible working hours and remote work options.
• Engaging and collaborative work environment.
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