Analytics Engineer – Data Engineering & Power BI
分析工程师 数据工程和动力 BI 遥控器 高级英语 我们正在寻找一个可以在数据工程和分析/报告中工作的实践分析工程师。这不是仅限于 Power BI 角色。理想的候选人应该舒适地拥有端到端的数据任务 从了解源数据和构建转型管道到创建精心设计的数据集和 Power BI 仪表板。关键责任 · 使用 Airflow 中的 dbt 和 pythonDAG 建立，维护和增强数据管道和转型工作流程。·开发清洁，可靠和可重复使用的数据模型用于分析和报告。·与 SQL 和数据仓库平台合作，研究数据，解决问题并实施转型。·开发和维护 Power BI 仪表板，报告，语义模型和 DAX 措施。·将业务要求转化为适当的数据模型和报告解决方案。·执行数据分析，验证，协调和数据质量检查。·从源到变革到报告中解决数据问题的管道。·掌握分配任务的所有权，独立通过开发，测试和完成来驱动它们。·与商业，分析和工程团队密切合作，以提供生产准备的解决方案。·人工智能前进 - 了解如何结合人工智能工具来提高任务生产力 · 强大的 SQL 和数据分析技能。· 强大的 Python 用于复杂转型和集成的数据管道。·与 dbt 和/或现代 ELT/数据转换实践的实践经验。· 数据建模，包括维度建模，事实/尺寸结构和分析数据集的坚实的理解。· 与现代云数据仓库工作经验，最好是雪。· 拥有 Powerhouse BI 的工作经验，包括数据建模，DAX,仪表板开发以及性能考虑因素。· 了解未熟的数据集，识别关系，数据质量问题和转型要求的能力。· 有经验调试现有数据管道和分析解决方案并支持它们。· 在快速发展环境中自主工作舒适，并且在监督下完成任务。必须具有以下内容：· 10年以上经验 · 优秀沟通者/客户面对方/细节关注 · 个人贡献者和团队合作能力。· 100% 掌握上述技能理想 Cand
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Analytics Engineer – Data Engineering & Power BI
Remote
Advanced english
We are looking for a hands-on Analytics Engineer who can work across both data engineering and analytics/reporting. This is not a Power BI-only role. The ideal candidate should be comfortable owning data tasks end-to-end — from understanding source data and building transformation pipelines to creating well-designed datasets and Power BI dashboards.
Key Responsibilities
- Build, maintain, and enhance data pipelines and transformation workflows using dbt and python DAG in Airflow.
- Develop clean, reliable, and reusable data models for analytics and reporting.
- Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations.
- Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures.
- Translate business requirements into appropriate data models and reporting solutions.
- Perform data analysis, validation, reconciliation, and data quality checks.
- Troubleshoot data issues across the pipeline, from source through transformation to reporting.
- Take ownership of assigned tasks and independently drive them through development, testing, and completion.
- Work closely with business, analytics, and engineering teams to deliver production-ready solutions.
- AI Forward - Understand how to marry AI tools to enhance productivity on tasks
Required Skills
- Strong SQL and data analysis skills.
- Strong Python for data pipelines for complex transformations and integrations.
- Hands-on experience with dbt and/or modern ELT/data transformation practices.
- Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets.
- Experience working with a modern cloud data warehouse, preferably Snowflake.
- Strong working experience with Power BI, including data modeling, DAX, dashboard development, and performance considerations.
- Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements.
- Experience debugging and supporting existing data pipelines and analytics solutions.
- Comfortable working independently in a fast-paced environment and delivering tasks with limited supervision.
Must have below:
- 10+ Years Experience
- Great Communicator/Client Facing/ Attention to detail
- Individual Contributor and ability to work as a team.
- 100% Hands on in the mentioned skills
Ideal Candidate
We are looking for someone who is data-first and hands-on. The candidate should be equally comfortable writing SQL/dbt/Python transformations, investigating a data issue, designing an analytics model, and building or modifying a Power BI report.
We are particularly looking for someone who can ramp up quickly, understand an existing data environment, take ownership of assigned work, and consistently deliver completed solutions.
Originally posted on Himalayas