ETL/Data Engineer - Remote Work

INDI Staffing Services; João Pessoa; Remote; BRL 140,000 - 190,000; Full time

Benefits offered by this job

Flexibility

Personalized pay

Tech tools

Autonomy

Generous leave

Diversity & Inclusion

Collaboration

Mentorship

Job summary

INDI is seeking an ETL/Data Engineer to design and implement sophisticated data processing systems and ETL pipelines that transform raw data into actionable insights. You will develop scalable pipelines, build robust data architectures, and ensure data quality across cloud-based platforms.

You will collaborate with data analysts and business teams to understand requirements, optimize storage, monitor data quality, and resolve complex pipeline issues while contributing to a flexible,

Qualifications

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

Responsibilities

• 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 for reliability.
• Collaborate with data analysts and business teams to translate requirements.
• Optimize data storage and retrieval for performance and cost efficiency.
• Troubleshoot complex data pipeline issues and ensure system stability.

Skills

SQL

Python

Data processing frameworks

Cloud platforms

Data modeling

Version control

Data quality monitoring

Tools

Data orchestration tools

Job description

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

Benefits:

• 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.