Software Engineer with experience in AWS cloud-native development, AWS Glue, PySpark, ECS/Kubernetes, React, and FastAPI to build scalable data-driven applications and APIs. Familiarity with DevOps tools like GitHub Actions and Terraform is a plus.

Data Engineer role requiring strong experience in Snowflake, dbt, and Python to build scalable data pipelines and optimize modern data warehouse solutions.

Data Engineer role requiring expertise in Snowflake, dbt, and Python to build scalable ETL pipelines, optimize data warehouses, and support AI-driven analytics platforms.

The role involves designing and maintaining Data Vault 2.0 data models on Snowflake, working closely with data engineers, architects, and business stakeholders to deliver scalable, high-quality data structures. The candidate will support data ingestion and transformation initiatives, ensure alignment with data governance and quality standards, and contribute to design reviews and documentation. Senior professionals will mentor team members and help define data modeling standards. Strong hands-on expertise in Data Vault 2.0, Snowflake, Azure-based data platforms, and solid data modeling fundamentals are essential.