Snowflake/Python Data Engineer

Project 328: Snowflake/Python Data Engineer

Duration : 14 Months with the possible extension

What You'll 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's degree in Computer Science, Engineering, or related field (or equivalent experience)

5–7 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