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Open nowPosted 18 days ago

Data Engineer | Senior | Snowflake

BIX Tecnologia - Consultoria de Dados9 open roles

Where
BR, Remote
Work mode
Remote
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Your applicationOpen nowData Engineer | Senior | SnowflakeBIX Tecnologia - Consultoria de Dados · BR, Remote

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 18 days ago

The posting

We are a company passionate about people, always prioritizing the quality of our relationships and taking care of every team member. We are looking for someone to join a team that is growing every day, both in size and in professional development.

We encourage and believe in our team, and we value working together. If you are someone with a strong team spirit who seeks continuous growth, BIX is the place for you!

Come join BIX Tecnologia!

Qualifications & Experience

  • Experience: 5–7 years of dedicated data engineering experience, with a proven track record of building production-grade data pipelines.
  • Snowflake Expertise: Advanced, hands-on experience with Snowflake architecture, performance tuning, and data sharing is a strict requirement.
  • Data Integration: Proven experience moving data across hybrid environments (on-prem to cloud) utilizing batch, streaming (e.g., Stream Analytics), and event-driven patterns.
  • Semantic & AI Context: Experience building or maintaining semantic layers (e.g., dbt Semantic Layer, Snowflake Cortex/Semantic definitions) and structuring data specifically for consumption by downstream AI, LLM, or natural language search features.
  • Software Skills: Strong Python skills, particularly in cloud environments (e.g., writing Azure Functions for data workloads) and strong SQL capabilities.
  • Frameworks & Clouds: Exposure to dbt is highly preferred. Experience with Azure data tools (Azure Data Factory) is a strong plus; familiarity with AWS data ecosystems is nice to have.
  • Leadership Style: A collaborative, coaching mindset with a passion for teaching, establishing governance, and raising the technical bar for cross-functional teams.
  • Fluent English: Clear and effective communication to collaborate with global teams, align technical requirements, and lead day-to-day meetings.

Key Responsibilities

  • Pipeline Architecture: Design, build, and maintain scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-prem and cloud sources.
  • Snowflake Platform Ownership: Serve as the core developer for our Snowflake data platform, ensuring optimal performance, modeling, and storage structures.
  • AI Readiness & Semantic Modeling: Architect and build transform pipelines that deliver high-quality data inputs to Snowflake and dbt AI features. Design and maintain the robust semantic layers and metadata models required to power "Self-Service 2.0" natural language user interfaces.
  • Data Mesh Enablement: Establish robust reference architectures, standard templates, and CI/CD best practices to enable decentralized line-of-business teams to build safely.
  • Leadership & Mentorship: Provide direct management and career mentorship to one data engineer (with room to grow). Act as a guide for self-taught domain data analysts to mature their engineering practices.
  • Modernization & Tooling: Drive the adoption of dbt for data transformation and explore the integration of AWS and Azure cloud data tools (ADF, Azure Functions, Stream Analytics) to optimize data flow.
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