🛠 Tech Stack

💼 About This Role

You'll design, build, and optimize modern data platforms using Azure, Fabric, Power BI, and Databricks, working directly with clients to understand their business goals. You'll engineer high-quality data solutions that drive measurable business value.

🎯 What You'll Do

• Work directly with clients to understand business goals and data challenges.
• Develop and optimize batch and streaming data ingestion pipelines.
• Implement medallion/Lakehouse architectures and dimensional models.
• Engineer solutions using PySpark, Spark SQL, SQL, Python, and Delta Lake.

📋 Requirements

• Bachelor's degree in computer science or related field.
• 4 years of experience in data engineering or cloud data solutions.
• 2 years of hands-on experience with Databricks or similar distributed processing.
• Expertise with Microsoft Azure infrastructure and data resources.

✨ Nice to Have

• Experience in consulting or professional services environment.
• Familiarity with data governance, security, and master data management.
• Broad experience with data/reporting tools and other cloud vendors.