We're seeking a Senior Data Engineer to design, build, and maintain data pipelines that enable reliable data movement and transformation across enterprise platforms. In this role, you will work with Python, Snowflake, and Azure Synapse Analytics to extract, transform, integrate, and deliver data to downstream systems. You'll collaborate with data analysts, business stakeholders, and technology teams to ensure scalable, secure, and high-quality data solutions that support business objectives.

Your Impact
Design, develop, and maintain robust data pipelines using Python to extract data from Snowflake and Azure Synapse Analytics and transform it for target systems.
Implement efficient ETL processes, ensuring accurate, reliable, and scalable data movement across platforms.
Collaborate with stakeholders to understand source systems, target systems, and business requirements, translating them into effective data pipeline solutions.
Write clean, optimized, and scalable code capable of processing large data volumes while maintaining performance and reliability.
Monitor, troubleshoot,



and optimize data pipeline performance, resolving bottlenecks, failures, and data quality issues.
Define and implement data transformation logic, including cleansing, filtering, aggregation, normalization, and standardization of data.
Develop data mapping and schema conversion processes to ensure consistency and compatibility between systems.
Establish and maintain connectivity with Snowflake and Azure Synapse Analytics through APIs, database connectors, and other integration methods.
Integrate and synchronize data from multiple sources while maintaining consistency, accuracy, and data integrity.
Partner with IT and platform teams to implement secure data transfer mechanisms aligned with governance and compliance requirements.
Develop error handling and exception management processes to ensure resilience and reliability across data integrations.
Document pipeline architecture, transformation ru

📌 Senior Data Engineer (Bogotá)
🏢 MPS Group
📍 Bogotá