[C3T] 数据仓库工程师
[C3T] Data Warehouse Engineer
Software Mind 为全球公司提供具有影响力的技术解决方案。科技巨头与独角兽企业、颠覆性项目、新兴技术以及无限机遇——这些是我们的日常写照。我们组建跨职能的工程团队，他们拥有主人翁意识并渴望不断进步，因此我们一直在寻找那些为每个项目带来激情与创造力的优秀人才。我们的文化崇尚开放、尊重、坚韧与勇气，并将工作与乐趣相结合。
项目目标 – 你将承担的角色
我们正在寻找一位积极主动且具备分析能力的数据仓库工程师，愿意迎接新挑战并突破常规思维。理想的候选人应具备数据仓库和云领域的商业经验，同时具备 AWS 和 PowerBI 经验者优先。此前在媒体或广告行业的经验并非必需；我们更看重求知欲和学习意愿。
职位贡献 – 你的职责
· 分析、处理并解读大数据集以生成可操作的洞察
· 开发并维护数据采集和转换流程
· 设计数据仓库模型
期望条件 – 你需要的经验
· 具备基于云的解决方案的商业经验（至少 2 年）
· 具备数据仓库的商业经验（至少 1 年）
· 精通 SQL（包括复杂的分析查询和数据转换）
· 了解数据湖仓方法
· 具备源代码版本控制系统（Git）经验
· 熟悉 Snowflake、dbt 以及 AWS 堆栈（MWAA、Lambda、SQS、SNS、S3）者优先
· 具备数据可视化和 BI 工具（如 Power BI 或 Looker）经验者优先
· 优秀的分析和解决问题能力
· 对挑战和学习新技术持积极、开放的态度
· 强大的沟通与协作能力
我们的福利 – 职业发展与个人成长
· 灵活雇佣与远程办公
· 参与国际项目，服务全球领先客户
· 国际商务差旅
· 非企业化氛围
· 语言课程
· 内部与外部培训
· 私人医疗与保险
· 多功能运动卡
· 健康促进计划
查看英文原文
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Project – the aim you’ll have
We are looking for a proactive and analytical DWH Engineer who is eager to take on new challenges and think outside the box. The ideal candidate will have a commercial experience in datawarehouse and cloud areas, with additional experience in AWS and PowerBI being a plus. Prior experience in the media or advertising industry is not required; we value curiosity and a willingness to learn.
Position – how you’ll contribute
· Analyze, process, and interpret large datasets to generate actionable insights
· Develop and maintain ingestion and transformation processes
· Design data warehouse models
Expectations – the experience you need
· Commercial experience with cloud-based solutions (at least 2 years)
· Commercial experience with data warehouses (at least 1 year)
· Strong proficiency in SQL (including complex analytical queries and data transformations)
· Understanding of the Data Lakehouse approach
· Experience with source version control systems (Git)
· Familiarity with Snowflake, dbt, and the AWS stack (MWAA, Lambda, SQS, SNS, S3) is an advantage
· Experience with data visualization and BI tools (such as Power BI or Looker) is a plus
· Excellent analytical and problem-solving skills
· A proactive, open-minded approach to challenges and learning new technologies
· Strong communication and collaboration skills
Our offer – professional development, personal growth
· Flexible employment and remote work
· International projects with leading global clients
· International business trips
· Non-corporate atmosphere
· Language classes
· Internal & external training
· Private healthcare and insurance
· Multisport card
· Well-being initiatives