Description

As a Senior Analytics Engineer, you will transform raw data into trusted insights, collaborating with various teams to create scalable data models and actionable reports that drive key business decisions.

Requirements

• •At least 6 years of experience in data engineering, analytics engineering, or advanced BI development role
• •Proven hands-on experience with dbt in a production environment
• •Deep expertise in SQL and dimensional/semantic modeling
• •Experience working with Snowflake or another modern cloud data platform
• •A track record of building clean, modular, reusable data pipelines
• •Strong understanding of data testing, CI/CD, documentation, and performance tuning
• •Ability to translate ambiguous business requirements into scalable data models
• •Passion for building a modern data culture and driving data-driven decision-making
• •A builder mindset: excited to shape foundational data architecture
• •Excellent communication and stakeholder management skills

Tasks

• •Design and develop dbt-based transformation pipelines
• •Maintain robust and scalable data models for BI tools
• •Implement best practices for version control and testing
• •Optimize performance and ensure thorough documentation
• •Ensure data quality and consistency throughout the lifecycle
• •Collaborate with analysts to enhance data usability and accessibility
• •Translate business metrics into reliable data models with cross-functional teams
• •Align dbt transformations with the Snowflake-based data platform
• •Create dashboards and reports for actionable insights
• •Promote a data-driven culture across the organization

Tools & Technologies

Benefits