🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
. Responsabilidades e atribuições Construção e manutenção de pipelines de dados escaláveis e confiáveis, utilizando tecnologias modernas de processamento distribuído para garantir a ingestão, transformação e disponibilização de dados com qualidade e performance; Desenvolver modelagem de dados, utilizando Databricks, SAP Datasphere, Data Factory, Azure Data Lake Storage (ADLS), Python e BD (SQL Server, Oracle). Extração de dados e criação de data lake de dados e tabelas; Estruturar RAG dos dos contratos e demais documentos; Realizar ETL a partir das APIs do CXL e transforma-los e trata-los em base de dados no Databricks; Estruturar tabelas de dados no Databricks; Desenvolvimento de ETL para análise de dados estruturados e não estruturados, utilizando API para análise de arquivos e validação dos dados; Requisitos e qualificações Requisitos: Experiência e conhecimento avançado no Databricks; Experiência com Data Factory, Azure Data Lake Storage (ADLS); Experiência na implementação de arquiteturas de Data Lake e Data Lakehouse; Experiência com Python, Apache Spark; Experiência com Airflow; Experiência com bancos SQL/NoSQL (PostgreSQL, MongoDB, Cassandra); Desejável: Conhecimento em Kafka; Conhecimento em DBT; Conhecimento em AWS Glue, BigQuery; Conhecimento em AI/RAG; Conhecimento em SAP Datasphere; Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies. We equip our team with proprietary and external AI-driven tools to design and build digital-native platforms, integrating cutting-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets. To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies. We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth. Join us and be part of the AI-driven revolution.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.