Feladatok

• Pipeline Development: Design, implement, and maintain scalable data pipelines and transformation workflows.

• Data Modeling: Develop and manage analytical data models using SQL-based frameworks, translating business requirements into structured data.

• Quality & Performance: Ensure high data quality, reliability, and performance across all production environments.

• DevOps Integration: Implement version control, CI/CD, and automated testing for data workloads.

• Collaboration: Work closely with BI and engineering teams to optimize the entire data lifecycle.

• Maintenance: Monitor, troubleshoot, and document data models and engineering standards.

Elvárások

• Python: Solid programming skills for data processing and automation.

• Azure Data Factory: Experience building and managing cloud orchestration.

• Microsoft SQL Server (MSSQL): Advanced SQL skills and complex data transformation experience.

• Azure Cloud: Hands-on experience within the Azure ecosystem and modern data architectures.

Nice to Have

• Azure Synapse Analytics

• Databricks (Spark-based processing)

• Experience with dbt or equivalent SQL-centric transformation tools.

• Familiarity with Infrastructure-as-Code (IaC) and automated provisioning.