Description
Job Summary:
We are seeking a Senior Data Engineering Analyst to build, evolve, and maintain data platforms, ensuring reliable and well-structured information for strategic decision-making.
Key Highlights:
1. Building and evolving data platforms
2. Working with data pipelines, modeling, and organization
3. Supporting product, analytics, and business area evolution
**Job Description:**
We are looking for a **Senior Data Engineering Analyst** to work on building, evolving, and maintaining data platforms within a modern, scalable, and results-oriented environment.
This role is ideal for candidates who enjoy working at the foundation that supports strategic decisions—handling pipelines, data modeling, and data organization—to ensure information is reliable, well-structured, traceable, and available for analytical and operational consumption, thereby supporting product, analytics, and business area evolution.
### **Main Responsibilities:**
* Develop and maintain data pipelines (batch and/or near real\-time) using Python/PySpark and SQL
* Perform data ingestion, transformation, and publishing routines
* Implement engineering best practices (logging, error handling, reprocessing, and data quality)
* Contribute to data modeling and layered analytical data organization
* Monitor processes, support incident resolution, and improve performance
* Integrate diverse data sources (APIs, databases, files, and systems)
* Document data flows, standards, and dependencies
* Collaborate closely with technical and business teams.
### **Requirements:**
* Prior experience as a Data Engineer or similar role
* Proficiency in Python/PySpark and SQL
* Hands-on experience with data modeling and reliable pipelines
* Engineering best practices (Git, code organization, teamwork)
* Analytical mindset, organized approach, and strong communication skills.
### **Nice-to-Haves:**
* Experience in regulated environments (finance, investments, retail)
* Observability and data quality
* Automation, CI/CD, and testing
* Knowledge of Data Lake, Lakehouse, or Data Warehouse
* Experience working in agile teams.
### **What We Expect:**
* Technical autonomy within well-defined scopes
* Commitment to data quality and sustainability
* Collaborative attitude and focus on continuous improvement.
**Work Location:**
Hybrid model – Office in **Nova Lima – MG**
Learn more about W1: **w1\.com.br/w1\-consultoria**
Join us to build your career with the **W1 Team!**
**Location****Employment Type****Work Model**
Nova Lima, MG, BR
PJ Contractor
Hybrid