ETL & Data Engineer — Remote-Ready with Growth

INDI Staffing Services; Caracas; A distancia; VES 35.556.000 - 53.333.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Tailored compensation

Generous leave policies

Mentorship opportunities

Descripción de la vacante

INDI Staffing Services seeks a skilled ETL/Data Engineer to design and implement advanced data processing systems and robust ETL pipelines. You will transform raw data into actionable insights, shaping data architecture and ensuring data quality while collaborating with analysts and business teams.

Ideal candidates have 3+ years in ETL/data engineering, strong SQL and Python, and experience with cloud-based data platforms.

Formación

• 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.
• Advanced level of English.

Responsabilidades

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

Conocimientos

SQL

Python

Data processing frameworks

Data quality assurance

English (Advanced)

Version control

Cloud platforms

Herramientas

Airflow

Descripción del empleo

INDI Staffing Services seeks a skilled ETL/Data Engineer to design and implement advanced data processing systems and robust ETL pipelines. You will transform raw data into actionable insights, shaping data architecture and ensuring data quality while collaborating with analysts and business teams.

Ideal candidates have 3+ years in ETL/data engineering, strong SQL and Python, and experience with cloud-based data platforms.