ETL/Data Engineer - Remote Work
Design, build, and maintain scalable ETL pipelines and data processing systems that turn raw data into business insights. Day-to-day work centers on SQL, Python, cloud data platforms, data modeling, and data quality monitoring, working remotely from Peru with advanced English.
- Compensation
- Not disclosed
- Location
- Peru
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 3+ years in ETL development, data engineering, or related fields
- Strong knowledge of SQL, Python, and data processing frameworks
- Experience with data warehousing concepts and cloud-based data platforms
- Understanding of data modeling and performance optimization
- Familiarity with version control systems and data pipeline orchestration tools
- Knowledge of data quality assurance and monitoring best practices
- Advanced level of English
Full description
At INDI, we're passionate about empowering individuals and businesses worldwide. Our cutting-edge recruiters connect leading companies with top talent, fostering a dynamic environment where innovation thrives. Join us in shaping the future of work.
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:
Diversity & Inclusion: Thrive in a diverse and inclusive environment.
- 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.
- Autonomous Workflow: Take control of your schedule to achieve work-life balance.
- Well-being: Enjoy generous leave policies for rest and rejuvenation.
- Collaboration: Engage with industry leaders for collective growth.
- Development: Access mentorship and growth opportunities for continuous advancement.