Data Engineer

Key Responsibilities:

• Build and maintain batch and low-latency data ingestion pipelines from enterprise systems and APIs.
• Use AI-assisted tools to generate, refactor, and test code as part of the AI SDLC.
• Optimize Snowflake workloads and implement data quality checks.

Required Qualifications:

• Bachelor's degree in computer science or equivalent experience, plus 3+ years of data engineering experience.
• Professional experience with production-quality SQL, Python, Snowflake, and dbt.
• Demonstrated use of AI-assisted software development tools.

Preferred Skills:

• Experience with Azure services, REST/GraphQL APIs, and enterprise applications like Salesforce.
• Familiarity with orchestration, data catalogs, and lineage tooling.
• Experience with master data management and semantic models.