Data Engineer (Snowflake)
Monterrey, Nuevo Leon, Mexico - Remote
Charger Logistics Inc
We are looking for a Snowflake Data Engineer who would be a part of a high-powered, globally distributed team (Data Science & BI Engineering) that builds end-to-end data pipelines, develops complex analytical processes, and manages our central data lake (based on Snowflake) for advanced analytics. The team also develops visual analytics with Tableau. The candidate will work cross-functionally with technical and non-technical teams to take on a variety of tasks including but not limited to mining data, building models, building dashboards, and conducting detailed analysis. The ideal candidate will have a analytical mindset, deep understanding of databases, visualization, and modeling techniques, and the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines.
Responsibilities:
- Understand the business requirements and processes around advanced analytics model execution.
- Develop end-to-end data pipelines from ingestion to visual analytics with Python, SQL and Snowflake.
- Manage, enhance, maintain and support our Snowflake-based data lake.
- Support our business intelligence developers to provide stunning visual analytics.
- Develop, maintain and support our library of analytical functions written in Python, SQL and Snowflake.
- Participate in our fast-paced, agile data iteration to deliver new capabilities in a timely manner.
- Leverage key features of Snowflake for processing, entitlements, ingestion, transformation and data sharing.
- Collaborate with data scientists, financial data analysts, software engineers and other data engineers to implement powerful solutions that leverage cloud, big data, NLP and ML.
- Build machine learning models with advanced analytics techniques to extend our capabilities and deliver new business value.
- Capture and present data-driven business insights.
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
- Work closely with software engineering teams to drive real-time model implementations and new feature creations.
- Leverage existing data sources, identify and mine data from new sources, identify opportunities for and execute primary data gathering efforts, and provide recommendations on scaling new methods more broadly.
Requirements
Benefits
- Competitive Salary
- Healthcare Benefits Package
- Career Growth
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Big Data Business Intelligence Computer Science Data Analytics Data Mining Data pipelines Engineering Machine Learning Mathematics ML models NLP Pipelines Python R Snowflake SQL Statistics Tableau Testing
Perks/benefits: Career development Competitive pay
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