Data Engineer – Databricks

🕒 July 21

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🗣️🇧🇷🇵🇹 Portuguese Required

Apply Now
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Logo of Avanade

Avanade

WebsiteLinkedIn

10,000+ employees

Founded 2000

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Avanade is a provider of cloud-based link management and digital connection tools, offering URL shortening, QR code generation (including dynamic and GS1 Digital Link support), mobile-friendly landing pages, link analytics, and APIs and integrations to manage and track customer interactions at scale. The platform targets businesses of all sizes with features like branded links, UTM campaign tracking, digital business cards, and enterprise-grade security and compliance, enabling marketing, developer, and customer service teams to create, customize, and analyze connections across channels.

📋 Description

• Design and implement efficient, scalable data pipelines aligned with business needs. • Develop and maintain data ingestion and transformation pipelines in Google Cloud Platform (GCP) environments. • Build solutions for Data Lake, Data Warehouse and Data Mart. • Define and apply relational and dimensional data modeling standards with a focus on performance, scalability and usability. • Translate business requirements into clear, consistent and sustainable data models. • Support data consumption through Business Intelligence tools, ensuring semantic quality and query performance. • Ensure data quality, governance, security and compliance throughout the data lifecycle. • Monitor and optimize cloud environment costs and performance. • Collaborate with multidisciplinary teams to promote data engineering and architecture best practices.

🎯 Requirements

• Advanced experience in conceptual, logical and physical data modeling, especially in analytical environments. • Strong SQL skills and best practices for Data Warehouse design and BigQuery. • Experience with Python and Spark for data processing. • Proficiency in the GCP ecosystem, including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage and Composer. • Experience with data visualization tools, especially Power BI, including semantic modeling, performance and data consumption. • Familiarity with CI/CD practices, code versioning and pipeline automation. • Knowledge of modern data architectures such as Data Mesh, Lakehouse and streaming solutions. • Experience with different data modeling approaches such as Star Schema, Snowflake and Data Vault. • Experience in scalable, governance-oriented data environments.

🏖️ Benefits

• Meal allowance or meal voucher • Multi-benefits card (up to Senior Consultant) • Health and dental insurance • Certifications and training • Life insurance • Private pension plan • Avababy: pregnancy support and a starter kit for new parents • Profit-sharing in company results • Wellhub • Childcare assistance • Career mentoring • Birthday Off policy (one day off during your birthday month) • Wellness sessions • For managerial positions: company vehicle, parking and fuel allowance

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