ETL/Data Engineer - Remote Work

INDI Staffing Services; Brasil; Híbrido; BRL 150 000 - 230 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Tailored Compensation

Tech-Driven Tools

Autonomous Workflow

Generous Leave Policies

Resumo da oferta

INDI is seeking an experienced ETL/Data Engineer who will design and implement sophisticated data processing systems and ETL pipelines, transforming raw data into actionable business insights. The role emphasizes collaboration with analysts and business teams to deliver scalable, reliable data solutions.

The position offers flexible work arrangements with a focus on innovation, data quality, and efficient data storage and retrieval, leveraging modern cloud data platforms.

Qualificações

• 3+ years in ETL development or data engineering.
• Strong SQL and Python skills with data processing frameworks.
• Experience with cloud-based data platforms and data warehousing.
• Understanding of data modeling and performance optimization.
• Familiarity with version control and data pipeline orchestration.
• Knowledge of data quality assurance and monitoring.
• Advanced English language proficiency.

Responsabilidades

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

Conhecimentos

SQL

Python

Data processing frameworks

Data quality assurance

Version control

Data modeling

Cloud platforms

English proficiency

Ferramentas

Git

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.