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 stakeholders to support data-driven initiatives.
- Participate in planning discussions and technical reviews to align data engineering activities with business goals.
- Stay current with emerging technologies, tools, and best practices in data engineering and recommend process improvements where appropriate.

WHAT WE'RE LOOKING FOR:

- Strong proficiency in Python programming.
- Experience building and maintaining data pipelines and ETL processes.
- Hands-on experience with Snowflake and Azure Synapse Analytics, including data extraction methods such as APIs and database connectors.
- Knowledge of data transformation techniques and tools.
- Experience using Python data processing libraries and frameworks, including Pandas, NumPy, and/or PySpark.
- Strong understanding of database systems and SQL querying.
- Experience with data integration and synchronization across multiple systems.
- Familiarity with data governance and compliance principles.
- Strong analytical and problem-solving skills.
- Excellent collaboration and communication abilities.
- High attention to detail and experience working with large-scale datasets.

WHAT WOULD BE A PLUS?

- Experience optimizing high-volume data processing workflows and pipeline performance.
- Expertise in designing scalable data transformation frameworks.
- Strong understanding of schema mapping, data validation, and data quality controls.
- Experience implementing secure and compliant enterprise data transfer solutions.
- Ability to collaborate effectively across engineering, analytics, and business teams.
- Passion for continuous improvement and adoption of modern data engineering best practices.

📌 Senior Data Engineer (Python + Snowflake + Synapse Analytics) (México)
🏢 Akurey
📍 México