Job Description

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
Job Type: Contractual / Temporary
Contract length: 12 months

Experience:

Snowflake: 5 years (Required) Python: 2 years (Required) * Total: 10 years (Required)