Description

As a Senior Analytics Engineer, you will transform raw data into reliable products while managing a complex data infrastructure. This role empowers stakeholders with self-service analytics and ensures data quality for AI-driven automation.

Requirements

• •3-5+ years of Analytics Engineering or Data Engineering experience
• •Expert-level SQL skills for complex transformations and optimization
• •Strong hands-on experience with dbt for building production data models
• •Solid experience with Snowflake or comparable DWH and pipeline orchestration
• •Track record of working on integrations involving APIs and robust ETL/ELT processes
• •Strong documentation skills and passion for enabling self-service analytics
• •Team player attitude thriving on cross-functional collaboration
• •Self-drive, proactiveness, and high adaptability in a fast-paced environment
• •Commitment to data governance, quality, and ownership
• •Passion for AI Technology and excitement to power automated support tools

Tasks

• •Own and maintain the Operations data structure using SQL and dbt within Snowflake
• •Manage over 200 data models with clear business logic
• •Optimize data pipeline orchestration using Airflow
• •Handle critical third-party data ingestions
• •Implement resource and cost optimizations
• •Establish best practices for data governance and quality
• •Create documentation and data marts for stakeholders
• •Ensure robust data governance focusing on PII management and access control
• •Provide a structured data foundation for new AI tools
• •Architect solutions to enable decentralized self-service data access
• •Master a large data infrastructure and understand business logic

Tools & Technologies

Benefits