Warehouse Management & Optimization

• Contribute to data modeling and Snowflake schema design that supports analytics, reporting, and self-service BI.
• Optimize Snowflake queries and storage to improve performance and cost-efficiency.

Collaboration & Stakeholder Support

• Collaborate with analysts, product managers, and business users to understand data needs and design appropriate solutions. Support reporting, dashboards, and analytics projects by making data assets easily consumable.

Infrastructure & DevOps

• Work with AWS services (e.g., S3, Lambda, RDS) as part of the data ingestion and processing workflows.
• Contribute to CI/CD practices, infrastructure-as-code, and monitoring for data pipelines.

Qualifications

• 2+ years of experience as a Software Engineer, Data Engineer, or Full-Stack Developer working with data-intensive systems.
• Strong proficiency in Python and SQL (or similar scripting languages) for data processing and transformation.
• Experience with modern data warehouses, ideally Snowflake.
• Familiarity with ELT/ETL tools such as Airbyte or similar platforms.
• Hands-on experience with AWS services and basic infrastructure automation (IaC).
• Solid software engineering fundamentals including version control, testing, and modular code design.
• Strong analytical and problem-solving skills, especially when dealing with complex or inconsistent datasets.
• Effective communicator with the ability to collaborate across technical and non-technical teams.