Senior Analytics Engineer

Design, build, and optimize domain, dimensional, and semantic data models in Snowflake and dbt to deliver scalable, reusable Data Products aligned with enterprise standards.

Ensure data quality through testing controls, root-cause analysis, and implement sustainable fixes; lead code reviews, enforce engineering standards, and contribute to data contract adoption.

Develop automation and AI-driven solutions including use of Snowflake Cortex, LLMs, AI Agents, and Python to improve engineering productivity, optimize performance and reduce costs, and mentor other engineers while maintaining hands-on contribution.

Strong hands-on experience in Analytics Engineering/Data Engineering with expertise in Snowflake, dbt, SQL, and data modelling.

Proven ability to design, code, test, troubleshoot, and deliver production-grade data solutions.

Experience with Git, CI/CD, code reviews, and modern software engineering practices.

Work Experience Required: Not explicitly mentioned in the JD.

Experienced in designing and optimizing incremental, dimensional models with a strong focus on data quality, performance, and cost efficiency.

Able to lead complex technical problem resolution from end-to-end and provide technical mentorship while remaining hands-on.

Familiarity or practical experience applying GenAI, LLMs, AI Agents, or Snowflake Cortex to enhance analytics engineering workflows and automation.