Description
Job Summary:
Analytics Engineer to work at the intersection of data engineering and business intelligence, transforming raw data into clean datasets and ensuring consistent application of business rules.
Key Highlights:
1. Working at the intersection of data engineering and business intelligence
2. Developing robust data models and integration pipelines
3. Ensuring data integrity and enabling business units with autonomy
TECHNOLOGY – SÃO PAULO / SP
**About the role:**
We are seeking an Analytics Engineer to work at the intersection of data engineering and business intelligence. You will be responsible for transforming raw data into clean, tested, and analysis-ready datasets, ensuring consistent application of business rules across our entire stack.
**Responsibilities:**
* **Data Modeling:** Develop and maintain robust data models (Star Schema, Data Vault) to support high-performance analytics.
* **ETL/ELT:** Build integration pipelines both in on-premises environments (SSIS) and in the cloud (Databricks/Fabric).
* **Governance and Quality:** Ensure data integrity through automated testing and technical documentation.
* **Self-Service BI:** Provide semantic layers in Power BI to enable business units with autonomy.
* **Modernization:** Support migration of legacy workflows to the Lakehouse architecture in Microsoft Fabric.
**Requirements:**
* **Advanced SQL:** Absolute proficiency in writing complex queries, stored procedures, and performance optimization.
* **Integration Services (SSIS):** Practical experience maintaining and developing legacy ETL packages.
* **Databricks:** Knowledge of Spark (PySpark or SQL) for processing large volumes of data.
* **Power BI:** Experience with DAX modeling, Power Query, and best practices in visualization.
* **Microsoft Fabric:** Familiarity with the ecosystem (OneLake, Data Factory, Lakehouses, and Warehouses).
**Nice-to-Have:**
* Knowledge of dbt (data build tool).
* Experience with version control (Git).
* Microsoft certifications (PL-300, DP-203, or DP-600).
* Agile mindset and focus on continuous value delivery
**Additional Information:**
* Location: São Paulo – SP;
* Work model: 100% remote
**Interested in this position? Please send your updated resume to:** **rh@hvarconsulting.com.br** **with your salary expectation and include “Senior Analytics Engineer” in the subject line.**