Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
описание
Описания нет
задачи
Lead end-to-end data projects, translating business requirements into scalable data models, pipelines, and Power BI solutions
Develop data solutions using Microsoft Fabric, Azure Synapse, SQL, and PySpark
Design database schemas and implement Data Vault and dimensional data models
Build and maintain complex Power BI dashboards and reports, supporting UAT and production deployment
Develop and optimize data pipelines, data quality controls, SQL queries, and processing workflows
Ensure solutions meet performance, scalability, security, and data governance requirements
Lead a small team of developers, coordinating priorities, workload, and technical delivery while providing mentoring and guidance
Collaborate with architects, data scientists, analysts, and business stakeholders and promote data engineering and self-service analytics best practices
требования
Bachelor's or Master's degree
7+ Years of progressively responsible experience in data engineering, with a strong focus on data modelling
4+ Years of experience in data engineering with Microsoft Fabric or Azure Synapse and report development with Power BI
Strong expertise in the Microsoft data stack, particularly Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, and Power BI
Proven experience implementing Data Lake and Data Lakehouse architectures and working with large datasets and data pipelines
Strong experience with Data Vault and dimensional data modelling
Proficiency in SQL and Python, with experience developing data solutions using PySpark
Experience with data governance, data security, Azure cloud architecture, and CI/CD for data workflows
Proven experience leading a data, data science, or similar technical team, including direct reports, mentoring, and technical project delivery
Experience developing Power BI reports, including Paginated Reports or SSRS
Будет плюсом: Apache Spark, Databricks, Snowflake, Azure DevOps, big data technologies, AI-assisted development, AI/ML techniques