Senior Data Engineer

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

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Logo of BlueCloud

BlueCloud

501 - 1000 employees

Founded 2004

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

BlueCloud is a global tech company that specializes in transforming businesses through data, analytics, and generative AI. Their services include data engineering, analytics, software design, DevOps, and data governance, leveraging revolutionary AI technology to enhance decision-making and efficiency. As a recognized Data Cloud Services Growth Partner, BlueCloud provides end-to-end cloud solutions that empower organizations to maximize their data potential and support digital transformation through scalable and high-performing global teams.

📋 Description

• Design and develop data transformations within Snowflake using SQL, dbt, Dynamic Tables, Streams/Tasks, or similar technologies • Build and maintain Silver and Gold layer datasets, dimensional models, data marts, and analytical structures • Develop semantic views/models providing consistent business definitions, metrics, dimensions, and relationships • Translate business requirements into scalable data models and transformation logic • Support data consumption across Power BI, Tableau, Sigma, Snowflake Cortex, Snowflake Intelligence, and other analytics/AI platforms • Optimize Snowflake models and transformations for performance, scalability, and cost • Implement data quality, governance, documentation, and business logic within curated datasets • Partner with business stakeholders, BI teams, architects, and data engineers to design solutions enabling self-service analytics and AI • Help establish best practices for data modeling, transformation, semantic layers, and Snowflake architecture

🎯 Requirements

• 7+ years of experience in Data Engineering, Data Architecture, or Analytics Engineering • Strong hands-on Snowflake and SQL experience • Strong understanding of dimensional modeling, analytical data structures, and data architecture • Experience with dbt or similar transformation technologies • Experience developing semantic layers, semantic views, or business-facing data models • Ability to translate complex business requirements into scalable technical solutions • Strong understanding of data quality, governance, and performance optimization

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