Blend360

Analytics Engineer

• 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.

QA Engineer

• Validate data accuracy and ensure production readiness by working closely with the Data Engineering Manager and Analytics Engineering Lead across 18 data domains.
• Design and build a reconciliation framework to systematically compare legacy pipeline outputs against new pipeline outputs, identifying discrepancies and gaps.
• Execute structured acceptance testing for each pipeline prior to promotion to production environments.
• Validate identity resolution accuracy through rigorous analysis of match rates, false positives, and false negatives.
• Document end-to-end data lineage across all 18 domains to support auditability, transparency, and regulatory compliance.
• Build and maintain automated regression test suites to enable continuous quality assurance as pipelines evolve.

Analytics Engineer

Analytics Engineer

Data QA Analyst