Experienced Data Engineer
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Description For Experienced Data Engineer
RYZ Labs, a dynamic startup studio founded in 2021, is seeking an experienced Data Engineer to join their client's innovative team. This role focuses on building and maintaining robust ETL pipelines, particularly working with Salesforce and other CRM systems. The position requires a seasoned professional with 5+ years of experience who can handle complex data integration challenges while maintaining high standards of data quality and security.
The ideal candidate will join a company that's a leader in performance management software, helping sales teams optimize their performance through data-driven insights. You'll be working with cutting-edge technologies and collaborating with cross-functional teams to deliver impactful solutions.
The role offers a unique opportunity to work in a remote environment with teams distributed across the US and Latin America. RYZ Labs values customer-first mentality, bias for action, ownership, humility, and continuous improvement. They provide an environment focused on learning, growth, and challenging projects.
Key technical requirements include expertise in Python, Java, or Scala, strong SQL skills, and experience with major database systems like PostgreSQL and MySQL. Knowledge of cloud platforms and big data technologies is essential. The role demands both technical excellence and strong communication skills, as you'll be working closely with data scientists, product managers, and other engineers.
This position is specifically for candidates based in Argentina & Uruguay, offering the chance to work with a company that understands the local market while building solutions with global impact. You'll have the autonomy to own your development process while contributing to industry-defining projects in a post-pandemic world.
Responsibilities For Experienced Data Engineer
- Design, develop, and maintain scalable ETL pipelines to ingest data from CRM systems
- Collaborate with data scientists, product managers, and engineers for seamless data integration
- Optimize data pipelines for performance and reliability
- Implement best practices for data governance, security, and compliance
- Work on data modeling, data warehouse architecture, and ensure data quality
- Troubleshoot and resolve data-related issues
- Stay updated with latest trends in data engineering
Requirements For Experienced Data Engineer
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of experience in data engineering, with strong focus on ETL processes
- Proficiency in programming languages such as Python, Java, or Scala
- Extensive experience with data integration tools and frameworks, particularly with Salesforce or other CRM systems
- Strong knowledge of data modeling, SQL, and database management systems
- Familiarity with cloud platforms and big data technologies
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
