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Data Engineer - Databricks (61283 | 168317-1)

Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Historic Center of São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

Job Summary: We are seeking a Data Engineer with Databricks experience to work on a global project, developing and tuning data flows in cloud environments and collaborating with international teams. Key Highlights: 1. Participation in a global project focused on Databricks and cloud environments 2. Development and tuning of data pipelines 3. Interaction with international teams and an analytical mindset For over 20 years, EVT has been a reference in corporate IT solutions, driving digital transformation for its partners and clients. With a highly qualified team, we operate both in developing custom solutions and in staffing specialized professionals within our clients’ organizations. We serve major companies across diverse industries, always focusing on delivering cutting-edge technology, close collaboration, and tangible business value. At EVT, we live our values daily: **Respect, Partnership, Efficiency, Innovation, and Results**. This commitment ensures high-quality deliveries and long-lasting relationships with our clients and employees. ✨ If you seek a collaborative environment full of challenges that accelerate your career, join a team that truly values the talent and dedication of every professional! **Opportunity Details:** * **Work Mode:** Remote * **Duration:** Indefinite * **Hiring Model:** Independent Contractor (PJ) **Responsibilities:** We seek a Data Engineer with Databricks experience to support the construction and maintenance of data pipelines and processing in cloud environments for a global project. Responsibilities include developing and tuning data flows, as well as interacting with international teams. Strong communication skills, an analytical mindset, and English proficiency for daily project work are essential. Requirements: * Experience with Databricks (notebooks, jobs, and clusters) * Use of Spark for data processing * Building data pipelines (ETL/ELT) * Data modeling in Lakehouse environments (Delta Lake) * Cloud experience (AWS, Azure, or GCP) * Advanced/Fluent English for communication in international projects Benefits * Learning incentive programs (Udemy); * Corporate English classes at affordable rates. **Selection Process Steps:** * Registration * HR Interview * Client Interview * Contract Signing **Shall we move forward together?**

Source:  indeed View original post
João Silva
Indeed · HR

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