ETL/Data Engineer - Remote Work

INDI Staffing Services; Brasil; Remote; BRL 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Flexible work

Tailored compensation

Tech-driven tools

Autonomous schedule

Generous leave

Diversity & inclusion

Mentorship & growth

Zusammenfassung

INDI Staffing Services is seeking an ETL/Data Engineer to design and implement scalable data processing systems and pipelines that transform raw data into actionable insights. You will build data architectures, ensure data quality, collaborate with analysts, and optimize storage and performance while maintaining reliable pipelines across cloud environments.

This role offers flexible work arrangements and a compensation package tailored to your goals, plus opportunities for mentorship and growth

Qualifikationen

• 3+ years in ETL development, data engineering, or related fields.
• Strong knowledge of SQL and Python for data processing.
• Experience with data warehousing concepts and cloud data 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.

Aufgaben

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

Kenntnisse

SQL

Python

ETL

Data pipelines

Data modeling

Cloud platforms

Version control

Data quality

English

Tools

Data orchestration tools

Jobbeschreibung

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.