Implement the curated data model layer in dbt across 18 data domains, working closely with the Onshore Analytics Engineering Lead.
Design and build dbt models across the full layered architecture: staging, intermediate, and mart layers.
Implement comprehensive dbt testing strategies, including unique, not_null, accepted_values, relationships, and custom tests to ensure data quality and reliability.
Develop and optimize incremental models to handle high-volume domains processing billions of events efficiently.
Generate and maintain thorough project documentation, including column descriptions and lineage graphs, to support transparency and team collaboration.

Advanced proficiency in dbt, including model development, testing frameworks, macros, and incremental strategies.
Expert-level SQL skills, with strong ability to write performant, maintainable queries across large datasets.
Solid understanding of data modeling principles, including dimensional modeling and layered architecture best practices.
Hands-on experience with AWS data services, particularly Athena and Redshift Serverless.
Working knowledge of Python for data engineering tasks and pipeline support.
Ability to work cross-functionally across multiple data domains and communicate technical concepts clearly to stakeholders.
English: Advanced (required for effective communication with global teams).
3+ years of experience in Analytics Engineering or Data Modeling roles, with hands-on expertise building layered dbt pipelines and working with cloud-based analytical data platforms.

Health and Well-being: At-home medical assistance via EMI (or similar provider) through Asobursatil, available for all employees from AllStar to Analyst level.
Private healthcare plans for Lead-level roles and above.
Celebrations and Recognitions: Christmas kit delivered to all employees. 1 day off for academic graduation. Family Day: 1 day off every semester (must be taken within the same semester).
Financial Health and Savings (Work Together, Get Together Program): Savings incentive program via Asobursatil: Year 1: Blend contributes 50% of your monthly savings. Year 2: Blend contributes 100% of your monthly savings. Year 3+: Blend contributes 150% of your monthly savings. Savings can be withdrawn in July and December.
Educational Loans and Subsidies: Forgivable education loans subject to committee approval and budget availability.

Analytics Engineer

Key skills