ETL/Data Engineer - Remote Work

INDI Staffing Services; Brasile; In loco; BRL 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible work location

Generous leave policies

Mentorship and growth opportunities

Descrizione del lavoro

INDI is seeking a Data Engineer to design and implement scalable ETL pipelines and data processing systems, turning raw data into actionable business insights through advanced data architecture. You will work on robust data flows and quality checks to support decision making.

Collaborate with data analysts and business teams to translate requirements into reliable solutions, optimize storage and performance, and troubleshoot complex pipelines. We value flexibility and continuous learning.

Competenze

• 3+ years in ETL development or data engineering.
• Strong SQL and Python skills.
• Experience with cloud-based data platforms.
• Knowledge of data modeling and performance optimization.

Mansioni

• Design, develop, and maintain scalable ETL pipelines and data processing systems.
• Build and optimize data architectures to support extraction, transformation, and loading.
• Implement data quality checks and monitoring for 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.

Conoscenze

SQL

Python

Data processing frameworks

Cloud data platforms

Data modeling

Version control

Data quality assurance

ETL development

English (Advanced)

Data pipeline orchestration

Strumenti

Airflow

Descrizione del lavoro

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.