Snowflake Data Engineer

Intellibus

At Intellibus, engineers are empowered to make a global impact with their platform solutions. The Platform Engineering Team tackles significant challenges like the Multiplicity Problem, earning trust from leading FinTech companies. This team plays a critical role in the Financial Trading sector, aiming to innovate and optimize applications with cutting-edge technologies.

In this role you can expect to have the responsibilities:

• Design and maintain data pipelines using Snowflake.
• Implement ETL processes utilizing Snowflake's advanced features.
• Create efficient data models and schemas for analytics and reporting.
• Optimize warehouse performance with Snowflake enhancements.
• Integrate Snowflake with external systems, including cloud storage and APIs.
• Monitor and enhance query performance and resource use with Snowflake.
• Address performance bottlenecks and optimize configurations.
• Develop Snowflake models and manage ETL tools in a cloud environment.
• Optimize SQL queries and database performance.
• Implement RBAC and work on data security measures.
• Configure AWS S3/EC2 and other AWS services.
• Perform data integration using MSK Kafka and partners like Delta Lake.

This role comes with the following benefits:

• Opportunity to work with cutting-edge technologies
• Collaborative and impactful work environment

This role requires you to have:

• Experience with ETL processes
• Proficiency in SQL and Python
• Knowledge of Unix and AWS
• Expertise in database modeling
• Competence with Snowflake and Airflow
• Strong communication and mentorship skills
• Bachelor's degree in Computer Science or equivalent experience

You would benefit from having:

• Leadership and mentoring abilities
• Experience with Talend, Jasper, and Java
• Knowledge of data migration, database migration, and data warehousing

The team at Intellibus values collaboration and innovation, constantly working with groundbreaking technologies to meet the demands of reputable FinTech clients.