Senior Data Engineer

Summary

Join Nearsure's close-knit LATAM remote team and enjoy a supportive work environment with competitive USD salaries, 100% remote work, paid time off, national holidays, sick leave, a refundable annual credit, team-building activities, and a birthday day off. As a Senior Data Engineer, you will build and maintain ETL pipelines using Azure Data Factory, manage and query relational databases, collaborate with stakeholders, ensure data integrity, and participate in debugging and optimization. This role requires a Bachelor's Degree in a related field, 5+ years of experience with ETL processes and data warehouse environments, 3+ years of experience with Azure Data Factory, strong SQL skills, experience in cloud environments, and advanced English proficiency.

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field
• 5 + Years of experience working with ETL processes, including data extraction, transformation, and loading using modern data tools
• 5 + Years of experience working on data warehouse environments with star schema architecture or data lake environments
• 3 + Years of experience working with Azure Data Factory (ADF), building and orchestrating data pipelines
• Strong SQL skills, including writing complex queries and optimizing performance for large datasets
• Experience designing and maintaining data pipelines and workflows in a cloud environment
• Familiarity with other components of the Azure data ecosystem (e.g., Azure Data Lake, Azure Synapse)
• Ability to work with cross-functional teams to gather requirements and implement scalable data solutions
• Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons

Responsibilities

• Build and maintain ETL pipelines using Azure Data Factory
• Manage and query relational databases (SQL)
• Collaborate with stakeholders to understand data requirements and deliver robust solutions
• Ensure data integrity, availability, and quality across systems
• Participate in debugging, optimization, and automation of data workflows

Benefits

• Competitive USD salary
• 100% remote work
• Paid time off
• National Holidays celebrated
• Sick leave
• Refundable Annual Credit
• Team-building activities
• Birthday day off