ETL/Data Engineer - Remote Work

INDI Staffing Services; Belo Horizonte; Híbrido; BRL 180 000 - 240 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work

Tailored compensation

Tech tools

Autonomous schedule

Generous leave

Diversity & inclusion

Leadership collaboration

Mentorship

Resumo da oferta

INDI Staffing Services is seeking an experienced ETL/Data Engineer to design and implement scalable data processing systems and ETL pipelines. You will transform raw data into actionable insights and contribute to strategic data architecture.

The role requires 3+ years in ETL/data engineering, strong SQL and Python, cloud data platforms, data modeling, and a proactive, collaborative mindset in a dynamic, tech-driven environment.

Qualificações

• 3+ years in ETL development or data engineering.
• Strong SQL and Python programming skills.
• Experience with cloud-based data platforms and data warehousing.
• Knowledge of data modeling and performance optimization.
• Familiarity with data pipeline orchestration tools and version control.
• Advanced English language proficiency.
• Ability to work autonomously and collaborate with teams.
• Commitment to data quality and monitoring best practices.

Responsabilidades

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

Conhecimentos

SQL

Python

Data processing frameworks

Cloud platforms

Data modeling

Version control

Data quality

ETL development

English

Ferramentas

Data warehousing tools

Orchestration tools

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.