
Snowflake/Python Data Engineer
3 weeks ago
Project 328: Snowflake/Python Data Engineer
Duration : 14 Months with the possible extension
What You&aposll Do:
Serve as a technical expert in Snowflake and Python-based data engineering solutions.
Design and implement efficient, scalable data pipelines using Snowflake and Python, optimizing for performance and cost.
Leverage new Snowflake features (e.g., Snowpark, Cortex, dynamic tables) to enhance data workflows and automation.
Collaborate with business analysts and stakeholders to ensure solutions meet functional and non-functional requirements.
Develop and maintain robust SQL procedures, ensuring data integrity and alignment with business logic.
Participate in solution design discussions, contributing technical insights and best practices.
Support testing, deployment, and production maintenance of data workflows and automation scripts.
Apply software development methodologies appropriate to project needs, including Agile practices.
Align risk and control processes into day-to-day responsibilities to monitor and mitigate risk; escalate appropriately.
Qualifications:
Bachelor&aposs degree in Computer Science, Engineering, or related field (or equivalent experience)
57 years of relevant experience in data engineering and automation
Talents Needed for Success:
Deep expertise in Snowflake, including architecture, performance tuning, and advanced features
Strong Python programming skills for data engineering, automation, and integration
Experience building enterprise-scale ETL pipelines and data workflows
Proficiency in writing complex SQL queries and procedures
Familiarity with CI/CD tools (e.g., Jenkins, Bitbucket), version control (Git), and Agile delivery
Understanding of data governance, security, and compliance in cloud data platforms
Ability to communicate technical concepts clearly and collaborate across teams
Proactive in staying current with emerging technologies and Snowflake ecosystem updates
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