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INDI Staffing Services

ETL/Data Engineer - Remote Work

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Summary

Designs, builds, and maintains scalable ETL pipelines and data processing systems, turning raw data into business insights via data architecture, quality checks, and optimized storage/retrieval. Requires 3+ years of experience with SQL, Python, and cloud data platforms; remote work from Peru with advanced English.

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.

If you are interested in being part of a team composed of the best professionals and working 100% goal-oriented in an innovative environment, but with the structure and resources of a multinational market leader, do not hesitate to apply!

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