Data Engineer

Data Engineer

We are seeking a Data Engineer to design and maintain scalable, modular, and cost-effective data pipelines using Microsoft Azure. You'll collaborate across teams to deliver high-quality data solutions that support enterprise architecture and analytics. Experience in machine learning is a strong advantage.

Key Responsibilities:

• Build and optimize data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Fabric.
• Strong business stakeholder engagement
• Manage data outputs via Azure Data Lake Storage Gen2 and Blob Storage.
• Collaborate with data scientists, analysts, and architects to meet evolving data needs.
• Ensure performance, scalability, and reliability of Azure-based data solutions.
• Apply data validation techniques to maintain data quality and integrity.
• Document processes, configurations, and best practices.
• Monitor and resolve pipeline issues proactively.
• Drive CI/CD for data solution deployment and maintenance.
• Stay current with emerging technologies and industry trends.

Preferred Qualifications:

• Strong experience with Azure data services and modern data engineering tools.
• Proficiency in Python, SQL, or Scala.
• Familiarity with CI/CD and DevOps practices.
• Exposure to machine learning workflows and model deployment is a plus.