ETL/Data Engineer - Remote Work

INDI Staffing Services; Lima Metropolitana; On-site; PEN 190,000 - 311,000; Full time

Job summary

INDI Staffing Services is seeking a seasoned ETL/Data Engineer to design and implement scalable data pipelines and architectures that turn raw data into actionable insights. You will collaborate with analysts and business teams to translate requirements into robust, maintainable solutions, while maintaining data quality and system stability.

The role emphasizes advanced technical expertise in SQL, Python, and cloud-based data platforms, with a focus on performance optimization and cost

Qualifications

• 3+ years in ETL development or data engineering.
• Strong SQL and Python skills.
• Experience with cloud data platforms.
• Knowledge of data modeling and data quality practices.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines and data processing systems with advanced technical proficiency.
• Build and optimize data architectures that support efficient data extraction, transformation, and loading processes.
• Implement data quality checks and monitoring systems to ensure accuracy and reliability.
• Collaborate with data analysts and business teams to understand requirements and deliver solutions.
• Optimize data storage and retrieval processes for improved performance and cost-effectiveness.
• Troubleshoot and resolve complex data pipeline issues while maintaining system stability.

Skills

SQL

Python

Data frameworks

Data warehousing

Cloud platforms

Data modeling

Version control

Data quality

English

Tools

Airflow

Git

Job 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.