Data Engineer

Job Description

• Build Data Pipelines / Integrations

• API Integrations / Database Connections

• Data Ingestion

• Data Transformation Logic

• Data Cleaning & Validation

• Storage Layer — SQL / Data Lake / Fabric

• Performance Optimization

• Error Handling & Logging

• Support BI Developer with Structured Datasets

Requirements

• Has built end-to-end pipelines independently

• Mentions data quality checks without being prompted

• Has worked in an Agile / sprint-based environment

• Knows both SQL and Python

• Has Microsoft Fabric or Azure certifications or DP-203 / Fabric Certification or  PySpark / Data bricks