ETL/Data Engineer – Remote

About the role

INDI is looking for a skilled ETL/Data Engineer to design and implement robust data processing systems. Working remotely, you will transform raw data into actionable insights that drive business decisions.

Key responsibilities

• Design, develop, and maintain scalable ETL pipelines and data processing systems.
• Build and optimise data architectures for efficient extraction, transformation, and loading.
• Implement data quality checks and monitoring to ensure accuracy and reliability.
• Collaborate with data analysts and business teams to understand requirements and deliver solutions.
• Optimise data storage and retrieval for performance and cost‑effectiveness.
• Troubleshoot and resolve complex pipeline issues while maintaining system stability.

Required profile

• 3+ years of experience in ETL development, data engineering, or related fields.
• Advanced level of English.

Required skills

• SQL
• Python
• Data processing frameworks (e.g., Apache Spark, Airflow)
• Cloud platforms and data warehousing concepts
• Data modeling and database design
• Version control systems
• Data pipeline orchestration tools
• Data quality assurance and monitoring practices

What we offer

• Flexible remote work environment.
• Tailored compensation to match financial goals.
• Access to cutting‑edge tech tools.
• Autonomous workflow for work‑life balance.
• Generous leave policies and well‑being support.
• Diverse and inclusive company culture.
• Opportunities for mentorship and professional growth.