> job detail
E
👽Other
Senior Data Engineer (Databricks, Spark)
Exadel Inc (Website) · São Paulo, Brazil
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
São Paulo, Brazil
languages
sql
tools
aws, databricks, delta
> stack
sqlawsdatabricksdeltas3sparkpyspark
> description
<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 data transformation pipelines integrating SaaS platforms, APIs, batch processing, and enterprise data sources.</li>
<li>Process, standardize, and optimize structured and semi-structured (JSON) datasets from heterogeneous systems.</li>
<li>Design and implement dimensional data models, including Fact, Dimension, and Event tables following Data Warehouse best practices.</li>
<li>Build trusted analytical datasets and business metrics that serve as the organization's Single Source of Truth.</li>
<li>Develop incremental, idempotent, and scalable data pipelines using Databricks and Apache Spark.</li>
<li>Optimize Spark workloads for large-scale distributed data processing.</li>
<li>Implement automated data quality validation, monitoring, alerting, and operational support processes.</li>
<li>Validate data reconciliation between legacy and modern cloud platforms throughout migration initiatives.</li>
<li>Produce technical documentation and facilitate knowledge transfer to internal engineering teams.</li>
<li>Collaborate with cross-functional stakeholders to deliver scalable, high-quality data solutions.</li>
</ul>
<h3>What You Bring</h3>
<ul>
<li>Extensive professional experience in Data Engineering or Analytics Engineering.</li>
<li>Strong hands-on experience with Databricks, including Workflows, Jobs, and Unity Catalog.</li>
<li>Advanced experience developing with Apache Spark (PySpark or Scala).</li>
<li>Experience processing large-scale datasets containing hundreds of millions of records.</li>
<li>Strong knowledge of Delta Lake and/or Apache Iceberg.</li>
<li>Advanced SQL skills with experience writing highly optimized queries.</li>
<li>Strong understanding of dimensional data modeling, including: Fact and Dimension tables, Slowly Changing Dimensions (SCD), Grain definition.</li>
<li>Experience building incremental and idempotent data pipelines.</li>
<li>Experience with Git, CI/CD pipelines, automated testing, and modern software engineering best practices.</li>
<li>Strong analytical and problem-solving skills.</li>
</ul>
<h3>Nice to have</h3>
<ul>
<li>Experience supporting multi-cloud migration initiatives (GCP to AWS).</li>
<li>Experience with AWS services including S3, Glue, and Lake Formation.</li>
<li>Familiarity with Google Cloud Platform (GCP).</li>
<li>Experience working with sensitive HR or People data while ensuring compliance with LGPD, GDPR, or similar regulations.</li>
<li>Understanding of Semantic Layer architecture and modern Lakehouse concepts.</li>
<li>Experience integrating REST APIs and processing JSON data.</li>
</ul>
<h3>English level</h3>
<p>Advanced English proficiency</p>
<p><strong>Work Type:</strong> Hybrid</p>
<p><strong>Location:</strong> São Paulo, Brazil</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>