ETL/Data Engineer - Remote Work

INDI Staffing Services; Rio de Janeiro; Híbrido; BRL 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work location

Personalized compensation

Tech-driven tools

Autonomous workflow

Generous leave policies

Diversity & Inclusion

Resumo da oferta

INDI Staffing Services is seeking an experienced ETL/Data Engineer to design and implement scalable pipelines and data architectures. You will transform raw data into actionable insights, collaborating with analysts and business teams to deliver reliable, cost-efficient solutions.

The role emphasizes cloud-enabled data processing, quality checks, and autonomous work patterns, with an English proficiency requirement and a focus on innovation within a multinational environment.

Qualificações

• 3+ years in ETL development, data engineering, or related fields.
• Strong SQL and Python skills with data processing experience.
• Experience with data warehousing concepts and cloud 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 English language skills.

Responsabilidades

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

Conhecimentos

SQL

Python

ETL pipelines

Data warehousing

Cloud platforms

Data modeling

Version control

Data quality

English

Ferramentas

Airflow

Descrição da oferta de emprego

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.

If you are interested in being part of a team composed of the best professionals and working 100% goal-oriented in an innovative environment, but with the structure and resources of a multinational market leader,