Senior Analytics Engineer
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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche Snowflake/dbt skillset and senior (7–10y) requirement reduces qualified applicant density.
Core Snowflake/dbt analytics engineering skills are transferable across industries but require data-platform experience.
Explicit 7–10 years and mandatory Snowflake, SQL, dbt make shortlisting highly stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable data pipelines and analytics solutions to support business decision-making.
Translate complex data requirements into robust, production-ready analytics solutions in collaboration with cross-functional teams.
Maintain and optimize data warehouse environments primarily using Snowflake and SQL.
Minimum Requirements
7 to 10 years of work experience in analytics engineering or related roles.
Strong hands-on experience with SQL and Snowflake, including data modeling, query optimization, and warehouse management.
Proficiency with dbt for building and maintaining transformation pipelines.
Work Experience Required: 7–10 Years.
Ideal Candidate Profile
Experienced senior engineer comfortable owning end-to-end data pipeline design and maintenance in cloud data warehouse environments.
Skilled in translating complex data needs into scalable and production-ready analytics solutions.
Familiarity with Salesforce integration (preferred) and data preparation tools like Alteryx or KNIME is a plus but not required.