Snowflake, dbt Developer

🕒 3 dias atrás

⚔️ Virginia – Remoto

⚔️ Virginia – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🖥 Engenheiro de Software

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Victaulic

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1919

🏗️ Construção

📦 Logística

💼 Consultoria

Construction • Logistics • Consulting

<Victaulic> Victaulic é um fabricante e provedor de soluções globais especializado em sistemas de união mecânica de tubos, produtos de proteção contra incêndio (incluindo sprinklers e conexões), dispositivos de controle de fluxo e ferramentas de instalação e software para projetos de construção e infraestrutura. A empresa fornece uniões ranhuradas, conexões, válvulas, sistemas de balanceamento hidráulico e serviços relacionados (suporte de engenharia, treinamento, conteúdo de software) para empreiteiros, engenheiros e clientes industriais nos mercados comercial, residencial, crítico, de energia e de petróleo e gás.

Descrição

• Develop, test, and maintain dbt models across silver, gold, and platinum medallion layers • Extend the production dbt project and migrate legacy transformation logic into dbt • Build and maintain semantic-layer models for BI, integration, and AI consumers • Implement incremental models, snapshots, and Snowflake-optimized materialization strategies • Author dbt tests and enforce layer contracts, naming conventions, and coding standards • Maintain dbt documentation, lineage, and exposures • Develop reusable macros and packages • Participate in pull request reviews and follow GitHub branching and release processes • Troubleshoot dbt model failures, data quality issues, and performance bottlenecks • Partner with BI analysts and business stakeholders to translate reporting requirements into dbt models • Design and develop interactive Snowflake Streamlit data applications • Build reusable application frameworks and component libraries • Integrate Snowflake Native Apps and third-party marketplace applications • Develop custom UDFs and stored procedures • Implement data models and pipelines following medallion architecture standards • Process JSON, Parquet, and Avro into consumable structures • Optimize query performance, clustering, and warehouse usage • Implement secure data sharing solutions • Build semantic models, metrics, business definitions, semantic views, and AI-ready datasets • Collaborate with AI engineering teams and validate AI-generated answers against governed metrics

🎯 Requisitos

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field • Minimum of 3 years of experience in data engineering, analytics engineering, or data development roles • At least 2 years of hands-on experience developing and maintaining dbt projects in production • At least 2 years of hands-on experience with the Snowflake platform, including advanced features • Proven track record of developing data applications or analytical solutions for business users • Production experience with dbt, including model design, Jinja and macros, testing, packages, documentation, and deployment on Snowflake • Strong dimensional modeling skills and experience designing layered transformations • Experience defining metrics, dimensions, and business logic in a semantic layer for BI and AI consumption • Advanced knowledge of Snowflake architecture, including data warehousing, data lakes, and lakehouse features • Expert-level SQL skills with complex analytical queries and optimization • Proficiency with Snowflake Streamlit • Strong Python skills for Snowpark development, data processing, and application logic • Experience with GitHub, pull request workflows, and branching strategies • Experience migrating legacy ETL/ELT transformation logic into dbt • Experience with dbt incremental strategies, snapshots, and model contracts on Snowflake • Understanding of the dbt Semantic Layer (MetricFlow) and Snowflake semantic views • Familiarity with semantic models and metadata supporting LLM-based tools such as Snowflake Cortex Analyst • Knowledge of medallion architecture patterns and data quality frameworks • Understanding of open table formats, including Apache Iceberg, Delta Lake, and Apache Hudi, and integration with Snowflake • Experience processing semi-structured data, including JSON, Parquet, and Avro, in Snowflake • Familiarity with Snowflake Dynamic Tables, Snowpipe, Tasks, and Streams • Understanding of data sharing, marketplace solutions, and cross-cloud data collaboration • Must be currently authorized to work in the applicable country full-time without employer-sponsored immigration support now or in the future • Preferred: dbt Analytics Engineering Certification; Snowflake SnowPro Core, Advanced Architect, or Data Engineer certification • Preferred: dbt packages such as dbt_utils and dbt_expectations, dbt Cloud or dbt Core orchestration, and data observability tools • Preferred: AI/ML collaboration, modern web frameworks, API development, microservices, cloud data services, and data governance

🏖️ Benefícios

• Competitive compensation with performance-based incentives • Career development programs and internal promotion pathways—we build from within • Tuition reimbursement and continuous learning opportunities • Comprehensive health, dental, and vision coverage • Retirement savings plans with company match • Life insurance and disability coverage • Paid time off and holidays • Flexible work arrangements where applicable • Employee Assistance Programs (EAP) and wellness resources • Inclusive, team-oriented culture • Products contributing to a safer, more sustainable built environment