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#dataengineer
Middle Data Engineer (Snowflake & dbt)

Salary: $600–800$
Employment: Full-time (EST time)
Work format: Remote
Company: Data Smart Solutions LLC

Responsibilities

Hands-on development: Build and optimize data pipelines using Snowflake and dbt (data build tool).
Data Modeling: Design and maintain scalable Data Warehouse structures (Star Schema, Snowflake Schema).
Transformation: Write complex SQL transformations and manage version control for data models.
ELT/ETL: Build and support data integration pipelines to move data into Snowflake.
Performance Tuning: Monitor and improve query performance and compute credit usage in Snowflake.

Requirements

2+ years of experience as a Data Engineer or Analytics Engineer.
Snowflake Expert: Practical experience with Snowflake architecture (Virtual Warehouses, Snowpipe, RBAC).
dbt Mastery: Solid experience in developing dbt projects, including macros, tests, and documentation.
SQL Pro: Advanced knowledge of SQL and Data Warehousing concepts (SCD Type 2, Fact & Dimension tables).
Cloud Platforms: Experience with at least one cloud provider (AWS, Azure, or GCP).
Version Control: Good understanding of Git workflows.

Apply here: Application Form


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