Data Engineer; Enterprise Data & Oracle ERP

Responsibilities

• Lead the design and optimization of enterprise-scale Snowflake data warehouse and analytics platforms.
• Build scalable ELT/ETL pipelines, dimensional data models, and enterprise reporting layers.
• Drive enterprise data integration initiatives involving Oracle EBS, ERP systems, APIs, and cloud platforms.
• Develop solutions using Snowflake, SQL, dbt, stored procedures, and orchestration frameworks.
• Establish best practices for data modeling, governance, CI/CD, testing, performance optimization, and operational support.
• Serve as the technical lead for enterprise BI and analytics engineering initiatives.
• Mentor engineering teams and collaborate with business stakeholders on scalable analytics solutions.

• 9+ years of experience in BI engineering, data engineering, analytics engineering, or enterprise data warehousing.
• Strong hands‑on expertise with Snowflake, Oracle EBS, enterprise data warehousing, and dimensional modeling.
• Advanced SQL, PL/SQL, SnowSQL, and ETL/ELT development experience.
• Strong experience with dbt, Airflow, Azure Data Factory, Informatica, SSIS, or similar integration tools.
• Experience supporting Finance, Supply Chain, Manufacturing, and Operations data domains.
• Strong understanding of Oracle EBS architecture, schemas, and enterprise ERP integrations.
• Proven experience leading enterprise‑scale analytics and data engineering initiatives.