#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
⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
👉 For Vacancies, Resumes, Advertisements 👉 @jakhongir095
Subscribe for daily announcements! 🎯
Channel 👉 https://t.me/Exampleuz 👈
Our group:👉 https://t.me/ishlar_uzjobs
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
⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
👉 For Vacancies, Resumes, Advertisements 👉 @jakhongir095
Subscribe for daily announcements! 🎯
Channel 👉 https://t.me/Exampleuz 👈
Our group:👉 https://t.me/ishlar_uzjobs
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