Requirements

Expected technologies

Microsoft Azure

SQL

Spark

.NET Core

Operating system

Linux

Our requirements

• At least 4 years of hands-on experience with Microsoft Azure data services.
• Proven track record of delivering large-scale data projects using Azure / Databricks / Spark.
• Proficiency with Microsoft Azure Data Platform (Synapse, Data Factory, SQL Databases, Data Lake).
• Practical experience with Spark or other big data frameworks.
• Excellent knowledge of SQL, including query optimization.
• Good command of .NET Core.
• Solid understanding of data modeling techniques and pipeline design (ETL/ELT).

Your responsibilities

• Design and implement a greenfield data lakehouse architecture.
• Build and optimize data models, schemas, and integration patterns.
• Develop scalable data storage and processing solutions using Azure and open-source components.
• Implement data ingestion pipelines (ETL/ELT) and high-performance query APIs.
• Integrate the platform with enterprise systems, ensuring data consistency and quality.
• Create technical documentation, establish standards, and define data governance policies.