Microsoft Azure Data Engineer at ARTECH 2000 Limited

Job Summary

• We are seeking an experienced Azure Data Engineer to design and implement modern cloud-based data solutions on Microsoft Azure. You will develop scalable data pipelines, data lakes, and analytics platforms to support business intelligence, reporting, and AI initiatives.

Key Responsibilities

• Design and build scalable data pipelines on Azure.
• Develop ETL/ELT solutions for structured and unstructured data.
• Build and maintain enterprise data lakes and data warehouses.
• Integrate data from ERP, CRM, APIs, and third-party systems.
• Optimize SQL queries and data models for analytics.
• Implement data governance, security, and compliance.
• Develop batch and real-time data processing solutions.
• Monitor data quality and pipeline performance.
• Collaborate with data scientists, analysts, and software engineers.
• Automate deployments using Infrastructure as Code (IaC).

Required Technical SkillsMicrosoft Azure

• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure Data Lake Storage Gen2
• Azure SQL Database
• Azure Blob Storage
• Azure Event Hubs
• Azure Stream Analytics
• Azure Databricks
• Azure Functions
• Azure Logic Apps
• Azure Key Vault
• Microsoft Fabric (increasingly requested)
• Azure Monitor

Programming

• Python
• SQL (Advanced)
• PySpark
• Scala (optional)
• PowerShell (preferred)

Big Data Technologies

• Apache Spark
• Delta Lake
• Databricks
• Kafka (nice to have)

Databases

• SQL Server
• Azure SQL
• PostgreSQL
• Cosmos DB
• Snowflake (often requested)
• Oracle (optional)

DevOps

• Git
• Azure DevOps
• GitHub Actions
• Terraform
• Docker
• Kubernetes (AKS)

BI & Analytics

• Power BI
• Microsoft Fabric
• SSIS (legacy environments)
• SSRS
• SSAS

Soft Skills

• Strong communication skills
• Analytical mindset
• Problem-solving ability
• Agile/Scrum experience
• Ability to work independently in a remote environment
• Stakeholder management