Snowflake Developer

## About the Role As a Snowflake Developer at Keyrus, you'll play a critical role in designing, building, and optimizing data pipelines and transformations for our clients. You'll work closely with senior engineers, architects, and client teams to deliver high-quality data products that drive business growth. Keyrus is a global consulting firm with over 28 years of experience, and we're committed to fostering a culture of innovation and collaboration.

Our team is passionate about staying at the forefront of cloud data technology, and we're looking for talented professionals who share our enthusiasm. As a Snowflake Developer, you'll have the opportunity to work with a range of cutting-edge tools and technologies, including Snowflake, SQL, Python, and dbt.

## What You Will Do - Develop, maintain, and optimize data pipelines and transformations using Snowflake, SQL, and Python - Support the implementation of scalable and efficient data solutions for enterprise clients - Collaborate with senior engineers, architects, and client teams to deliver high-quality data products - Build and maintain batch and near real-time data pipelines for analytics and reporting use cases - Develop transformation logic using SQL and frameworks such as dbt - Support data ingestion processes using APIs, file-based ingestion, or ELT tools (e.g., Fivetran or similar) - Perform data validation, testing, and troubleshooting to ensure data quality and reliability - Contribute to performance optimization and cost efficiency in Snowflake workloads - Apply best practices in data modeling, data governance, and pipeline orchestration - Collaborate in Agile/Scrum environments, contributing to sprint planning and delivery - Communicate progress and technical challenges clearly with internal teams

## What We Are Looking For - 4-6 years of experience in data engineering, databases, or data-related roles - Minimum 2 years of hands-on experience working with Snowflake - Strong proficiency in SQL (advanced querying, transformations, optimization) - Experience with Python for data processing, automation, or pipeline development - Experience building and maintaining data pipelines and ETL/ELT processes - Good understanding of data warehousing concepts and modern data architecture - Experience with data integration patterns (APIs, flat files, streaming is a plus) - Familiarity with tools like dbt, Airflow, or similar is a plus - Experience working in cloud environments (AWS, Azure, or GCP) is a plus - Exposure to working with cross-functional teams or client-facing projects is a plus - Strong problem-solving and communication skills - Experience working in Agile environments

## Nice to Have - Snowflake certifications (SnowPro Core or similar) - Experience with Snowpark, Streams & Tasks, or other advanced Snowflake features - Exposure to BI/reporting tools - Consulting experience or stakeholder interaction

## Benefits and Perks - Competitive benefits and multiple opportunities for professional growth - 100% remote work environment with flexible working hours - Access to cutting-edge technologies and training resources - Collaborative and dynamic team environment - Recognition and rewards for outstanding performance - Opportunities for career advancement and professional development - Comprehensive health insurance and wellness programs - Generous paid time off and holiday allowances

- Make sure you have a strong foundation in Snowflake, SQL, and Python, and be prepared to provide examples of your experience with these technologies.

• Highlight your problem-solving skills and ability to work in a fast-paced, dynamic environment.
• Emphasize your experience working with data pipelines and ETL/ELT processes, and be prepared to discuss your approach to data architecture and governance.
• If you have experience working with dbt or other data transformation frameworks, be sure to highlight this in your application.
• Prepare to discuss your approach to data quality and reliability, and be ready to provide examples of how you've ensured data integrity in previous roles.
• Be prepared to talk about your experience working in Agile environments and collaborating with cross-functional teams.
• Consider obtaining Snowflake certifications or taking courses to improve your skills and stand out as a candidate.