Senior Data Engineer

We are seeking an experienced Senior Data Engineer with strong expertise in reverse-engineering existing Oracle-based ETL processes and rebuilding scalable, optimized data pipelines within a Snowflake data warehouse. This role will focus on designing targeted data models that support business needs while ensuring performance, data integrity, and reliability across environments. The ideal candidate brings deep SQL expertise, hands‑on Snowflake experience, and a strong understanding of modern data warehousing principles. Key Responsibilities Analyze and reverse-engineer existing Oracle ETL workflows Rebuild, optimize, and modernize data pipelines within Snowflake Design and implement targeted data models in Snowflake to support business reporting and analytics needs Ensure data integrity, accuracy, and performance across data warehouse environments Collaborate with cross-functional teams to gather requirements and deliver scalable data solutions Apply best practices for CI/CD, version control, and code management Required Skills Expert-level SQL (DDL and DML) Moderate-level Python for scripting and automation Strong understanding of data warehousing fundamentals Experience with data warehouse modeling concepts (e.g., star schema) Hands-on experience with Snowflake, including tasks and related features Knowledge of CI/CD pipelines and code management best practices Preferred Skills Experience migrating ETL processes from Oracle to Snowflake Experience with Oracle Data Integrator (ODI) Strong analytical and problem-solving abilities Ability to work independently as well as collaboratively within a team environment #J-18808-Ljbffr Compunnel, Inc.