ETL/Data Engineer - Remote Work

INDI Staffing Services; Rio de Janeiro; Hybrid; BRL 120,000 - 210,000; Full time

Benefits offered by this job

Tailored compensation

Generous leave policies

Flexible work location

Access to cutting-edge tools

Job summary

INDI Staffing Services is seeking an ETL/Data Engineer who will design and implement scalable data processing systems and ETL pipelines to transform raw data into actionable insights. You will build data architectures, ensure data quality, and collaborate with analysts to deliver robust data solutions.

The role emphasizes flexibility in work location and compensation tailored to performance. The ideal candidate brings 3+ years of ETL or data engineering experience, strong SQL and Python skills,

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-based 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.
• Flexibility in choosing where/how you work.
• Tailored compensation based on goals and achievements.

Responsibilities

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

Skills

ETL development

Data engineering

SQL

Python

Data quality

Data modeling

Cloud platforms

Version control

Data warehousing

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.