**Position Overview**
We are seeking a skilled Data Engineer to join our team and drive our data infrastructure forward. In this role, you will primarily focus on maintaining and enhancing our data warehouse and pipelines (80%) while also contributing to data analysis and reporting initiatives (20%). You'll work closely with cross-functional stakeholders to build robust data solutions and create actionable insights through compelling visualizations.
**Key Responsibilities**
**Data Engineering (80%)**
- **Infrastructure Management**: Maintain, enhance, and optimize existing data warehouse architecture and ETL pipelines
- **Pipeline Development**: Design and implement scalable ETL/ELT processes ensuring data quality, integrity, and timeliness
- **Performance Optimization**: Monitor and improve pipeline performance, troubleshoot issues, and implement best practices
- **Documentation**: Create and maintain comprehensive documentation for data engineering processes, architecture, and configurations
**Data Analysis & Reporting (20%)**
- **Stakeholder Collaboration**: Partner with business teams to gather requirements and translate them into technical solutions
- **Report Development**: Build and maintain PowerBI dashboards and reports that drive business decisions
- **Data Modeling**: Develop new data models and enhance existing ones to support advanced analytics
- **Insight Communication**:



Transform complex data findings into clear, actionable insights for various departments
**Required Qualifications**
**Technical Skills**
- **Programming & Query Languages**: Strong proficiency in Python, SQL, and PySpark
- **Big Data Platforms**: Hands-on experience with Databricks for large-scale data processing
- **Orchestration Tools**: Proven experience with workflow orchestration tools (Airflow preferred)
- **Cloud Platforms**: Experience with AWS (preferred), Azure, or Google Cloud Platform
- **Data Visualization**: Proficiency in PowerBI (preferred) or Tableau
- **Database Systems**: Familiarity with relational database management systems (RDBMS)
**Development Practices**
- **Version Control**: Proficient with Git for code management and collaboration
- **CI/CD**: Hands-on experience implementing and maintaining continuous integration/deployment pipelines
- **Documentation**: Strong ability to create clear technical documentation
**Experience & Communication**
- **Professional Experience**: 3+ years in data engineering or closely related roles
- **Language Requirements**: Fluent English communication skills for effective collaboration with U.S.based team members
- **Pipeline Expertise**: Demonstrated experience building and maintaining production data pipelines
**Job Types**: Contract, Permanent
Work Location: Remote

📌 Data Engineer (Ciudad de México)
🏢 Cartiga
📍 Ciudad de México