Senior Data Engineer

Role & responsibilities

Role Overview

Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.

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

Preferred candidate profile

7+ years of data engineering experience

Hands-on experience with Microsoft Fabric (Mandatory 1+ years) or Azure Synapse/Data Factory

Strong experience with Fivetran or similar ELT tools

Proficiency in Python, PySpark, and SQL

Experience handling high-volume datasets (hundreds of millions of records)

Strong understanding of Medallion architecture and data modeling concepts.