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Job Description

Your Role:

We are seeking a highly skilled Senior Data Engineer to design, develop, optimize, and maintain scalable data solutions in cloud environments. You will be responsible for building robust pipelines, data processing architectures, and analytics platforms that support Business Intelligence, Machine Learning, and Artificial Intelligence initiatives.
- Design, develop, and maintain scalable, high-performance data pipelines.
- Build ETL/ELT processes using Python, PySpark, SQL, Azure Databricks, and Azure Data Factory.




- Implement integration mechanisms for structured and unstructured data from multiple sources.
- Develop storage and processing solutions based on Data Lake and Lakehouse architecture.
- Ensure data quality, consistency, security, and availability.
- Optimize distributed processing workflows for large volumes of data.
- Implement data governance, monitoring, and observability standards.
- Design and implement solutions using Azure Databricks, Azure Data Factory, Azure Functions, Azure Storage Accounts, Azure Key Vault, and Azure Logic Apps.
- Automate deployments via CI/CD pipelines using Azure DevOps.
- Monitor and resolve incidents related to data processes in production environments.
- Apply security and access management best practices in cloud environments.
- Implement secure authentication, authorization, and secret management mechanisms.
- Collaborate with Data Science teams to prepare, transform, and make data available for

📌 Azure Data Engineer (Bogotá)
🏢 Capgemini
📍 Bogotá