Data Engineer

A company is looking for a Data Engineer to build robust data pipelines for internal business analytics.

Key Responsibilities

Build and maintain Azure Data Factory pipelines to ingest data from multiple sources

Write Python code in Databricks to clean raw data and move it into the silver layer, ensuring deduplication and validation

Monitor daily jobs, troubleshoot failures, and implement automated checks for data quality

Required Qualifications

5+ years of experience in Data Engineering with a focus on ETL / ELT pipelines in a cloud environment

Proficiency in building and optimizing data pipelines using Azure Data Factory and Databricks

Strong proficiency in SQL for data analysis and Python for scripting and transformation

Experience implementing automated data quality checks and a proactive approach to identifying pipeline failures

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a closely related technical field