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Python data engineer;
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À propos
Role Description: Location - Dallas Mode - 3 days per week work from Dallas Office Python (5 years professional experience) developing automation solutions within complex, enterprise-scale environments. Strong proficiency with Python ecosystem tools and libraries used for automation, data processing, API integration, and workflow orchestration (e.g., pandas, SQL Alchemy, requests, PyTest).Hands-on experience designing and maintaining automated business processes, including scripting, task scheduling, error handling, logging, and performance optimization. Solid working knowledge of SQL Server writing optimized SQL queries, stored procedures, and troubleshooting performance issues. Practical experience with Snowflake, including Snowflake SQL, data pipeline interactions, and integration with Python. Experience working with enterprise data environments, version control (Git), CICD pipelines, and secure deployment practices. Familiarity with cloud or hybrid environments (AWS) and integrating Python automations with cloud-based services is a plus. Ability to collaborate with business process owners to translate manual workflows into fully automated, fault-tolerant solutions
Competencies: Digital : Python
Experience (Years): 8-10
Essential Skills: Pythn data engineer
Compétences linguistiques
- English
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