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Overview of the Role
The ETL/Data Engineer will design and implement sophisticated data processing systems and ETL pipelines, transforming raw data into actionable business insights through advanced technical expertise and strategic data architecture.
Key Responsibilities
- Designing, developing, and maintaining scalable ETL pipelines and data processing systems with advanced technical proficiency.
- Building and optimizing data architectures that support efficient data extraction, transformation, and loading processes.
- Implementing data quality checks and monitoring systems to ensure accuracy and reliability.
- Collaborating with data analysts and business teams to understand requirements and deliver solutions.
- Optimizing data storage and retrieval processes for improved performance and cost-effectiveness.




- Troubleshooting and resolving complex data pipeline issues while maintaining system stability.

Requirements
- Experience: 3+ years in ETL development, data engineering, or related fields
- Programming: Strong knowledge of SQL, Python, and data processing frameworks
- Cloud Platforms: Experience with data warehousing concepts and cloud-based data platforms
- Database Design: Understanding of data modeling and performance optimization
- Version Control: Familiarity with version control systems and data pipeline orchestration tools
- Data Quality: Knowledge of data quality assurance and monitoring best practices
- Language: Advanced level of English
- Flexibility: Choose where and how you work for enhanced creativity and innovation.
- Tailored Compensation: Personalize your earnings to suit your financial goals.
- Tech-Driven Tools: Access cutting-edge resources for seamless collaboration and productivity.
- Autono

📌 ETL/Data Engineer (Colombia)
🏢 INDI Staffing Services
📍 Colombia