ETL/Data Engineer - Remote Work

INDI Staffing Services; Brasil; Presencial; BRL 120 000 - 180 000; Tempo integral

Resumo da oferta

INDI is seeking an experienced ETL/Data Engineer to design and implement sophisticated data processing systems and ETL pipelines, transforming raw data into actionable insights through advanced technical expertise and strategic data architecture.

You will design, build, and maintain scalable pipelines, optimize storage and performance, and collaborate with analysts and business teams to deliver reliable, high-quality data solutions across cloud platforms. English fluency required.

Qualificações

• 3+ years of experience in ETL development or data engineering.
• Strong SQL and Python skills with experience in data processing frameworks.
• Experience with cloud data warehouses and cloud platforms.
• Knowledge of data modeling and performance optimization.
• Familiarity with version control and data pipeline orchestration.
• Advanced English communication.

Responsabilidades

• Design, develop, and maintain scalable ETL pipelines and data processing systems.
• Build and optimize data architectures for efficient ETL.
• Implement data quality checks and monitoring.
• Collaborate with data analysts and business teams to deliver solutions.
• Optimize data storage and retrieval for performance and cost.
• Troubleshoot complex data pipeline issues and ensure system stability.

Conhecimentos

SQL

Python

Data processing frameworks

Data quality

Data modeling

Cloud platforms

Version control

English (advanced)

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.