[8FA] 数据工程师（BI开发）
[8FA] Data Engineer (BI Developer)
公司简介
我们是Software Mind，一支充满激情的工程师团队，随时准备提升任何顶级公司的项目！我们的目标是始终领先一步。加入一家持续成长的多元文化公司，享受由Great Place To Work认证的优秀工作环境！
项目目标——你将承担的角色
我们正在寻找一位经验丰富的数据工程师/BI开发人员加入我们的团队。在该职位中，你将参与活跃的客户项目，设计和实现数据管道，迁移遗留的ETL工作负载，并在微软数据平台上构建可扩展的报告和分析解决方案。理想的候选人应能熟练编写复杂的T-SQL，构建Power BI报告，并在Microsoft Fabric中架构数据流，能够在第一天就迅速投入工作。
期望——你需要具备的经验
· 5年以上数据工程、BI开发或相关岗位的工作经验
· 精通SQL、T-SQL、SSIS等工具
· 有将SSIS包迁移到云原生ETL/ELT解决方案（Microsoft Fabric或Azure Data Factory优先）的实际经验
· 熟练使用Microsoft Fabric，包括Lakehouses、Data Warehouses、Pipelines、Dataflows Gen2和Notebooks
· 熟练掌握Power BI：报告和仪表板开发、DAX、数据建模、Power Query（M），以及报告发布和工作区管理
· 有使用Azure数据服务的实际经验：Azure Data Factory、Azure Data Lake Storage、Azure SQL Database和/或Azure Synapse Analytics
· 熟悉数据仓库概念：维度建模、星型/雪花型模式、缓慢变化维度
· 有在Agile/Scrum交付环境中工作的经验，能够处理多个并行的工作流
· 有在面向客户的咨询或专业服务环境中工作的经验
加分项
· 有Salesforce数据集成或Salesforce API使用（REST/SOAP）的经验
· 熟悉在Fabric Notebooks或Azure Databricks中使用Python或PySpark进行数据转换
· 了解机器学习流程或Azure Machine Learning
· 微软认证：DP-700（Fabric Analytics Engineer）、PL-300（Power BI Data Analyst）、DP-203（Azure Data Engineer）或同等认证
你会做什么
· 编写复杂且高性能的T-SQL和SQL查询，用于数据转换、报告层和存储过程
· 将遗留的SSIS包迁移到现代的Microsoft Fabric替代方案，确保数据完整性、性能和可维护性
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Company Description
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!
Project - the aim you'll have
We are seeking an experienced Data Engineer / BI Developer to join our team. In this role, you will work across active client projects to design and implement data pipelines, migrate legacy ETL workloads, and build scalable reporting and analytics solutions on the Microsoft data platform. The ideal candidate is equally comfortable writing complex T-SQL, building Power BI reports, and architecting data flows in Microsoft Fabric, and can hit the ground running on day one.
Expectations - the experience you need
· 5+ years of experience in data engineering, BI development, or similar roles
· Expertise working with SQL, T-SQL, SSIS, etc.
· Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions (Microsoft Fabric or Azure Data Factory strongly preferred)
· Strong hands-on experience with Microsoft Fabric, including Lakehouses, Data Warehouses, Pipelines, Dataflows Gen2, and Notebooks
· Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management
· Hands-on experience with Azure data services: Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and/or Azure Synapse Analytics
· Solid understanding of data warehouse concepts: dimensional modeling, star/snowflake schemas, slowly changing dimensions
· Experience working in Agile/Scrum delivery environments with multiple concurrent workstreams
· Experience in a client-facing consulting or professional services environment
Nice to Have
· Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP)
· Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks
· Exposure to machine learning workflows or Azure Machine Learning
· Microsoft certifications: DP-700 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), DP-203 (Azure Data Engineer), or equivalent
What you will do
· Write complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures
· Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process
· Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services
· Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices
· Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions
· Develop and manage data models (star schema, snowflake) within Azure Synapse Analytics, Fabric Warehouses, or SQL Server environments
· Monitor, troubleshoot, and tune pipeline performance, data quality, and query execution across production and development environments
· Participate in architecture discussions and contribute to solution design decisions for new client engagements
· Document technical designs, pipeline logic, and data definitions clearly for both technical and non-technical audiences
We are looking for a similar if not identical profile and PI as Kevin Narvaes
https://www.smartrecruiters.com/app/people/applications/2d652fe2-1743-4544-953e-807d26044e83/overview