Key Responsibilities
Configure and optimize Fivetran connectors (Oracle, SQL DB, etc.)
Manage large-volume ingestion and backfill operations
Implement Bronze to Silver transformation pipelines
Develop incremental load and CDC logic
Optimize Lakehouse performance and storage patterns
Implement monitoring (record counts, load duration, failure tracking)
Support Dev/Test/Prod promotion processes
Required Qualifications
7+ years of data engineering experience
Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory
Strong experience with Fivetran or similar ELT tools
Experience handling high-volume datasets (hundreds of millions of records)
Proficiency in SQL, Python, and data modeling concepts
Strong understanding of Medallion architecture
