Data Engineer

Summary

Join our client's innovative team as an Experienced Data Engineer! This role requires strong ETL process experience, particularly with Salesforce or similar sales tools. You will design, implement, and maintain data pipelines, ensuring seamless data integration and optimization. The ideal candidate possesses a Bachelor's or Master's degree in a related field and 5+ years of relevant experience. Proficiency in programming languages like Python, Java, or Scala is essential, along with expertise in data integration tools and database management systems. This position offers the opportunity to work with a team of great professionals and specialists in a remote and distributed environment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering, with a 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 (e.g.PostgreSQL, MySQL, or similar)
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g.,Spark, Hadoop)
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills, with the ability to work effectively in a team environment

Responsibilities

• Design, develop, and maintain scalable ETL pipelines to ingest data from CRM systems like Salesforce and other sales tools
• Collaborate with data scientists, product managers, and engineers to ensure seamless integration of data across the platform
• Optimize data pipelines for performance and reliability to handle large volumes of data efficiently
• Implement best practices for data governance, security, and compliance
• Work on data modeling, data warehouse architecture, and ensure the quality and accuracy of data
• Troubleshoot and resolve data-related issues, ensuring data integrity and consistency
• Stay updated with the latest trends in data engineering and bring innovative solutions to the team

Benefits

• Remote and distributed throughout the US and Latam
• An environment of opportunities, learning, growth, expansion and challenging projects
• You will deepen your experience while sharing and learning from a team of great professionals and specialists