Be part of AKUREY
We are looking for a Senior Data Engineer (Python + Snowflake + Synapse Analytics) to build and optimize scalable data pipelines and ETL processes. You will work with Python, Snowflake, and Azure Synapse Analytics to transform and integrate large-scale data while ensuring performance, reliability, and data quality.
WHAT YOU'LL DO:
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 rules, source specifications, and target system requirements.
Collaborate with cross-functional teams including data analysts, data scientists, and business sta
📌 Senior Data Engineer (México)
🏢 Akurey
📍 México