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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 colla

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