Descrição da vaga
<h3>Why Join Exadel</h3>
<p>We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.</p>
<p>From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.<br>What powers it all? Our people are ambitious, collaborative, and constantly evolving.</p>
<h3>About the Client</h3>
<p>A leading global digital banking platform and one of the largest neobanks in Latin America, headquartered in Brazil. The company provides a mobile-first suite of financial services—including credit cards, savings accounts, and investments—designed to eliminate bureaucracy and high fees. By leveraging advanced data analytics and a customer-centric digital infrastructure, the organization delivers transparent and accessible financial solutions to millions of users across Brazil, Mexico, and Colombia.</p>
<h3>What You’ll Do</h3>
<ul>
<li>Design, develop, and maintain scalable, production-grade data pipelines integrating SaaS platforms, APIs, batch processes, and enterprise data sources.</li>
<li>Transform, integrate, standardize, and model structured and semi-structured data from multiple heterogeneous systems.</li>
<li>Develop and optimize data processing solutions using Databricks and Apache Spark for large-scale distributed data processing.</li>
<li>Design and implement reliable dimensional data models, including Fact, Dimension, and Event tables, following modern Data Engineering and Data Warehouse best practices.</li>
<li>Build trusted, analytics-ready datasets and business metrics that serve as a Single Source of Truth for analytical and business use cases.</li>
<li>Develop incremental, idempotent, scalable, and maintainable data pipelines.</li>
<li>Optimize data processing workloads, queries, and pipeline performance with a focus on scalability and efficiency.</li>
<li>Implement automated data quality, validation, testing, monitoring, and observability practices.</li>
<li>Troubleshoot production issues, investigate root causes, and implement sustainable solutions to improve reliability and operational excellence.</li>
<li>Validate data reconciliation between legacy and modern cloud platforms throughout migration initiatives.</li>
<li>Collaborate closely with Data Engineers, Software Engineers, Analytics teams, Product teams, and other cross-functional stakeholders.</li>
<li>Take end-to-end ownership of technical solutions, from design and development through deployment, production support, and continuous improvement.</li>
<li>Contribute to CI/CD, code reviews, automated testing, and modern software engineering practices.</li>
<li>Leverage AI-assisted development tools to accelerate coding, testing, troubleshooting, documentation, and other engineering activities while applying sound technical judgment.</li>
<li>Identify opportunities to improve automation, platform reliability, engineering productivity, and data quality.</li>
<li>Produce technical documentation and facilitate knowledge sharing and knowledge transfer across engineering teams.</li>
</ul>
<h3>What You Bring</h3>
<ul>
<li>Professional experience in Data Engineering, Analytics Engineering, or a related field.</li>
<li>Proven experience building and operating production-grade data pipelines.</li>
<li>Strong hands-on experience with Databricks, including Workflows, Jobs, and Unity Catalog.</li>
<li>Advanced experience with Apache Spark, using PySpark and/or Scala.</li>
<li>Experience processing and optimizing large-scale datasets, including datasets containing hundreds of millions of records.</li>
<li>Advanced SQL skills, including complex queries, data transformations, and query optimization.</li>
<li>Strong understanding of data modeling and analytical data structures, including Fact and Dimension tables, SCD, and data grain.</li>
<li>Strong knowledge of Delta Lake and/or Apache Iceberg.</li>
<li>Experience building incremental and idempotent data pipelines.</li>
<li>Experience implementing data quality, validation, testing, monitoring, and observability practices.</li>
<li>Strong troubleshooting and production support experience.</li>
<li>Experience with Git, CI/CD pipelines, automated testing, code reviews, and modern software engineering practices.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Good communication skills and the ability to clearly communicate technical concepts and solutions.</li>
</ul>
<h3>Nice to have</h3>
<ul>
<li>Experience supporting cloud migration and data modernization initiatives, particularly migrations from GCP to AWS.</li>
<li>Experience with AWS services, including S3, Glue, and Lake Formation.</li>
<li>Familiarity with Google Cloud Platform (GCP) or other major cloud platforms.</li>
<li>Experience with modern Lakehouse architectures and Semantic Layer concepts.</li>
<li>Experience integrating REST APIs and processing JSON data.</li>
<li>Knowledge of Data Governance principles and practices.</li>
<li>Experience with Infrastructure as Code (IaC) tools such as Terraform.</li>
<li>Experience with data observability and monitoring tools.</li>
<li>Experience working with sensitive HR/People data and familiarity with LGPD, GDPR, or similar data privacy regulations.</li>
<li>Familiarity with modern AI-assisted development tools and workflows.</li>
</ul>
<h3>English level</h3>
<p>Advanced English proficiency</p>
<p><strong>Work Type:</strong> Hybrid</p>
<p><strong>Location:</strong> São Paulo</p>
<h3>Legal & Hiring Information</h3>
<ul>
<li>Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more</li>
<li>Reasonable accommodations are available to enable individuals with disabilities to perform essential functions</li>
<li>Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs</li>
<li>Compensation details are shared with candidates at the early stage of the recruitment process.</li>
<li>The offer is not binding until a signed contract is in place.</li>
</ul>
<h3>Your Benefits at Exadel</h3>
<p>Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.</p>
<ul>
<li>International projects</li>
<li>In-office, hybrid, or remote flexibility</li>
<li>Medical healthcare</li>
<li>Recognition program</li>
<li>Ongoing learning & reimbursement </li>
<li>Well-being program</li>
<li>Team events & local benefits </li>
<li>Sports compensation </li>
<li>Referral bonuses </li>
<li>Top-tier equipment provision</li>
</ul>
<h3>Exadel Culture</h3>
<p>We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.</p>