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Senior Data Analytics Engineer

Brazil, Colombia, Costa Rica
full_time
Brazil, Colombia, Costa Rica

Role Summary

The Senior Data Analytics Engineer at Aubrant Digital will be responsible for transforming raw data into actionable insights across various enterprise domains. This senior-level role involves collaborating with subject matter experts and business analysts to design data models and deliver high-quality engineering solutions that support over 70 business areas. The engineer will contribute significantly to data products and maintain accountability for service level agreements and delivery quality.

Benefits & Culture

This remote position offers flexibility for candidates in Brazil, Colombia, and Costa Rica, promoting a collaborative and Agile work environment. The company values continuous improvement and teamwork, suggesting a culture that supports professional growth and skill development. While specific benefits are not detailed, typical perks may include flexible working hours, opportunities for training in advanced tools like Azure, and a commitment to a one-team mentality.

Full Job Description

Senior Data Analytics EngineerDescription:We are seeking a highly skilled and collaborative Senior Data Analytics Engineer to transform raw data into actionable insights across a wide range of enterprise domains. This role is pivotal in shaping data products that support over 70 business areas, including membership and location services. You ll work closely with subject matter experts and business analysts to design robust data models, apply domain-specific business rules, and deliver high-quality engineering solutions.Key Responsibilities: Transform raw data from data warehouses into meaningful insights. Apply business rules to align data with domain intelligence. Design and propose data models and solutions to stakeholders. Collaborate with SMEs and BAs to understand business logic and requirements. Contribute to enterprise and business data products across 70+ domains. Maintain accountability for SLAs and delivery quality. Support Agile development and promote a one-team mentality. Participate in continuous improvement initiatives. Apply standards and best practices for data pipelines and transformations. Work effectively with senior engineers and cross-functional teams.Technical Skills:Must-Have: Advanced SQL (procedures, transformations). Data modeling and schema design. Strong understanding of data architecture concepts. Experience with Snowflake (dynamic tables, advanced features). Python (used for orchestration/configuration).Nice-to-Have / Can Be Trained: Azure Functions / Azure ML.Tools & Platforms: GitHub, Azure, CI/CD workflows. Experience with analytics engineering pipelines (injection, transformation, orchestration).Ideal Candidate Traits: Curious, proactive, and collaborative. Strong communication and teamwork skills. Committed to delivering solutions together, not in competition. Embraces Agile methodology and promotes a one-team culture.