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Mid-level data engineer title with broad Snowflake+dbt+Tableau skillset attracts moderate competition.
Analytics engineering skills transfer across industries, but Snowflake/dbt/Tableau stack creates moderate specificity.
Explicit 6+ years requirement plus mandatory Snowflake, dbt, Python, and Tableau increases filtering rigidity.
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Design, develop, and maintain scalable data transformation and analytics pipelines using Snowflake, SQL, Python, and dbt.
Build and maintain Tableau dashboards and KPIs for business stakeholders and optimize data workflows for performance.
Collaborate with cross-functional teams to translate business requirements into data models, reports, and analytical solutions, ensuring data accuracy and reliability.
6+ years of overall experience in Analytics Engineering, Data Engineering, BI, or related roles.
Strong hands-on experience with Snowflake and advanced SQL development.
Proficient in Python for data preprocessing, transformation, automation, and validation.
Hands-on experience with dbt and Tableau dashboard/report development.
Experienced in end-to-end analytics engineering encompassing data preprocessing, transformation, modeling, and BI reporting.
Capable of working directly with business stakeholders to translate requirements into data solutions and drive performance optimizations.
Strong grasp of ETL/ELT workflows, dimensional modeling, data governance, and quality assurance within modern data warehousing contexts.