Data Engineer

Data Engineer – Azure / Microsoft Fabric

Role Summary

As a Data Engineer with 4–5 years of experience , you will design, implement, and maintain scalable, production‑grade data pipelines and data platform solutions. Your work will deliver reliable, high-quality data for analytics, reporting, ML / AI initiatives — enabling data-driven decision making across the business.

What You’ll Do

• Build, deploy and manage end‑to‑end ETL / ELT pipelines using Azure Data Factory (ADF) , Azure Databricks (ADB) / Microsoft Fabric .
• Ingest data from diverse sources, transform, clean and store it in Azure Data Lake / OneLake or Delta Lake / Lakehouse , enabling downstream analytics and reporting.
• Design and maintain robust data models, warehouse / lakehouse schemas , ensuring data integrity, reliability and performance.
• Write efficient data transformation and processing logic using PySpark, Python and / or Scala , optimizing for large‑scale data workloads.
• Collaborate with data scientists, analysts, product owners, and other stakeholders to understand data needs and deliver appropriate solutions.
• Implement data governance, quality, and security standards; ensure compliance and data reliability across data lifecycle.
• Apply version control and CI / CD practices to pipelines and infrastructure (e.g. Git / Azure DevOps), supporting seamless deployment, monitoring and maintenance.
• Troubleshoot, monitor, and optimize data pipelines to ensure performance, scalability and operational excellence.

Required Skills & Experience

Preferred / Nice‑to‑Have

Why You Might Be a Great Fit

Bonus / Preferred Qualifications

Ready to make an impact with data? Apply now!