Utilize SQL window functions to perform advanced data calculations, such as running totals, moving averages, and rankings, enabling deeper insights into sales trends and performance metrics.
Prepare and automate detailed real-time reports using Python and SQL, providing actionable insights to stakeholders and enhancing the company’s decision-making processes.
Develop and optimize data pipelines using Snowpipe and SnowSQL for real-time and batch data ingestion, achieving improved data processing efficiency by 20%.
Implement Snowpark to build scalable and high-performance data applications using Python, enhancing data manipulation, analysis, and processing capabilities.
Leverage Snowflake’s Time Travel features to enable auditing, data recovery, and version control, ensuring data integrity and regulatory compliance.
Manage Snowflake's Zero Copy Cloning to create cost-effective development, testing, and staging environments without incurring additional storage costs.
Collaborate with product managers to develop dynamic dashboards on Tableau, enabling tracking of key supply chain metrics and effectively identifying Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs).

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
Proven experience working with Snowflake Data Cloud and its key functionalities, including Snowpark, Snowpipe, and Time Travel.
Proficiency in programming with Python for data processing and analytics.
Advanced SQL skills, including working with window functions for complex calculations and analysis.
Experience developing interactive dashboards with Tableau or similar visualization tools.
Strong understanding of data engineering best practices, including data integrity, compliance, and real-time data ingestion techniques.
Familiarity with cloud data architecture and concepts such as Zero Copy Cloning and scalable application development.
Certification in Snowflake or related cloud data platforms (e.g., AWS, Azure, GCP) - preferred.
Experience in supply chain analytics or supporting business systems in a large-scale environment - preferred.
Strong collaboration skills and ability to work cross-functionally with product managers, analysts, and other engineering teams - preferred.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonSnowflakeSnowparkSnowpipeTime TravelTableaudata engineering best practicesdata processingreal-time data ingestion

Soft Skills

collaborationcross-functional teamwork

Certifications

Snowflake certificationAWS certificationAzure certificationGCP certification