Sr. Analytics Engineer - Data Platform

📋 Description

• Design and operate data contracts for critical metrics and datasets, partnering with domain owners
• Own analytical data modeling, including data layers, conventions, and dimensional models, supported
• Strengthen the data platform across ingestion, orchestration, quality, and observability using
• Build monitoring and quality processes that identify anomalies proactively before they affect
• Enable true self-service analytics through semantic layers and models in tools such as Omni and
• Deliver high-confidence dashboards and reports for leadership, external partners, and regulatory

🎯 Requirements

• 4+ years of professional experience in data, analytics engineering, data engineering, or BI with
• Advanced SQL skills and strong analytical modeling expertise, including dimensional modeling
• Proven experience taking data transformations into production using dbt or equivalent technologies
• Experience building data pipelines, automations, and data processes with Python or equivalent
• Hands-on experience with an orchestration platform such as Dagster or Airflow and managed ingestion
• Experience with PostgreSQL and/or analytical data warehouses such as Redshift, Snowflake, or

🎁 Benefits

• Access to professional growth resources, including courses, workshops, books, and other learning
• Unlimited private medical assistance by video call for you and up to 3 family members, including
• Access to TotalPass and tools supporting physical well-being.
• 9 additional personal leave days per year, in addition to statutory leave.
• Major Medical Expenses Insurance.
• Company-provided equipment required to perform the role.