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Sr Snowflake DBT Engineer
Job in
Northern, Floyd County, Kentucky, USA
Listed on 2026-09-05
Listing for:
Anblicks Inc.
Full Time
position Listed on 2026-09-05
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Information Security & Data Protection, Data Science Manager
Job Description & How to Apply Below
Job Description:
Sr Data Engineer (Snowflake + dbt ) Experience Required
8+ Years
LocationJob Summary
We are seeking an experienced Senior Snowflake & dbt Engineer with 8+ years of experience in Data Engineering, Cloud Data Warehousing, and Analytics Engineering. The ideal candidate will have strong expertise in Snowflake, dbt (Data Build Tool), SQL, ETL/ELT development, and Azure cloud platform
. The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data pipelines and modern data warehouse solutions to support enterprise analytics and reporting initiatives.
- Design, develop, and maintain scalable data solutions using Snowflake and dbt
. - Build and optimize ELT/ETL pipelines to ingest, transform, and load large-scale data from multiple sources.
- Develop reusable and modular dbt models, macros, tests, snapshots, and documentation.
- Implement dimensional data models including Star Schema and Snowflake Schema for reporting and analytics.
- Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse sizing.
- Design and implement data quality frameworks, monitoring, and automated validations using dbt.
- Collaborate with Data Analysts, Data Scientists, Business Stakeholders, and Product teams to understand requirements and deliver data solutions.
- Develop CI/CD pipelines for dbt deployments and automate data workflows.
- Ensure data governance, security, compliance, and best practices within Snowflake environments.
- Troubleshoot data issues, perform root cause analysis, and implement preventive solutions.
- Create technical documentation, architecture diagrams, and data lineage documentation.
- Mentor junior data engineers and establish engineering standards and best practices.
- Experience with orchestration tools such as:
Azure Data Factory (ADF) - Understanding of data governance, security, metadata management, and data lineage.
- Experience handling structured and semi-structured data (JSON, XML, Parquet, Avro).
Knowledge in HRMS or Finance data
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