ETL/Data Engineer - Remote Work

INDI Staffing Services; Caracas; On-site; VES 52,863,000 - 79,295,000; Full time

Job summary

INDI Staffing Services in Caracas seeks an experienced ETL/Data Engineer to design and implement data pipelines, transforming raw data into actionable insights and shaping scalable analytics architecture.

You will partner with data analysts and business teams to capture requirements, implement quality checks, optimize storage, and troubleshoot complex pipelines while maintaining system stability and efficiency.

Qualifications

• 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 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.
• Flexible work location and autonomous scheduling.
• Tailored compensation: Personalize earnings to suit financial goals.
• Tech-driven tools for seamless collaboration and productivity.
• Autonomous workflow and work-life balance.
• Generous leave policies for rest and rejuvenation.
• Collaboration with industry leaders for growth.
• Development opportunities and mentorship.

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.

Skills

SQL

Python

ETL pipelines

Data modeling

Performance optimization

Version control

Data quality

Cloud platforms

English fluency

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.