ETL/Data Engineer - Remote Work

INDI Staffing Services; Colombia; Presencial; COP 89.280.000 - 156.240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work arrangement

Tailored compensation

Tech-driven tools

Autonomous workflow

Generous leave

Descripción de la vacante

INDI is seeking an ETL/Data Engineer to design and implement advanced data processing systems and ETL pipelines that convert raw data into actionable business insights.

You will collaborate with analysts and business teams, build scalable data architectures, and ensure data quality while optimizing storage and performance. The role emphasizes cloud-based platforms, Python, and SQL expertise, with flexible work considerations.

Formación

• 3+ years in ETL development or data engineering.
• Strong SQL and Python skills.
• Experience with cloud-based data platforms.
• Understanding of data modeling and performance optimization.
• Familiarity with data quality monitoring and assurance.
• Advanced level of English.

Responsabilidades

• Design, develop, and maintain scalable ETL pipelines and data processing systems.
• Build and optimize data architectures for ETL processes.
• Implement data quality checks and monitoring systems.
• Collaborate with data analysts and business teams to meet requirements.
• Optimize data storage and retrieval for performance and cost.
• Troubleshoot and resolve complex data pipeline issues.

Conocimientos

SQL

Python

ETL pipelines

Cloud platforms

Data modeling

Data quality checks

Version control

Data warehousing

English

Herramientas

Airflow

Descripción del empleo

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:

• 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.
• Diversity & Inclusion: Thrive in a diverse and inclusive environment.
• Collaboration: Engage with industry leaders for collective growth.
• Development: Access mentorship and growth opportunities for continuous advancement.