---
title: 'Senior Analytics Engineer (Databricks, Spark) at Exadel Inc (Website)'
canonical: 'https://feeny.ai/job/senior-analytics-engineer-databricks-spark-exadel-inc-website-sao-paulo-rwyy0a6bn4gg'
type: 'job'
last_seen: '2026-09-14'
---

# Senior Analytics Engineer (Databricks, Spark) at Exadel Inc (Website)

- **Company:** Exadel Inc (Website)
- **Location:** São Paulo, Brazil
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-14
- **Apply:** https://job-boards.greenhouse.io/exadelinc/jobs/6181374004

## Job description

## Why Join Exadel

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.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving.

## About the Client

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.

## What You’ll Do

- Design, develop, and maintain scalable, production-grade data pipelines integrating SaaS platforms, APIs, batch processes, and enterprise data sources.
- Transform, integrate, standardize, and model structured and semi-structured data from multiple heterogeneous systems.
- Develop and optimize data processing solutions using Databricks and Apache Spark for large-scale distributed data processing.
- Design and implement reliable dimensional data models, including Fact, Dimension, and Event tables, following modern Data Engineering and Data Warehouse best practices.
- Build trusted, analytics-ready datasets and business metrics that serve as a Single Source of Truth for analytical and business use cases.
- Develop incremental, idempotent, scalable, and maintainable data pipelines.
- Optimize data processing workloads, queries, and pipeline performance with a focus on scalability and efficiency.
- Implement automated data quality, validation, testing, monitoring, and observability practices.
- Troubleshoot production issues, investigate root causes, and implement sustainable solutions to improve reliability and operational excellence.
- Validate data reconciliation between legacy and modern cloud platforms throughout migration initiatives.
- Collaborate closely with Data Engineers, Software Engineers, Analytics teams, Product teams, and other cross-functional stakeholders.
- Take end-to-end ownership of technical solutions, from design and development through deployment, production support, and continuous improvement.
- Contribute to CI/CD, code reviews, automated testing, and modern software engineering practices.
- Leverage AI-assisted development tools to accelerate coding, testing, troubleshooting, documentation, and other engineering activities while applying sound technical judgment.
- Identify opportunities to improve automation, platform reliability, engineering productivity, and data quality.
- Produce technical documentation and facilitate knowledge sharing and knowledge transfer across engineering teams.

## What You Bring

- Professional experience in Data Engineering, Analytics Engineering, or a related field.
- Proven experience building and operating production-grade data pipelines.
- Strong hands-on experience with Databricks, including Workflows, Jobs, and Unity Catalog.
- Advanced experience with Apache Spark, using PySpark and/or Scala.
- Experience processing and optimizing large-scale datasets, including datasets containing hundreds of millions of records.
- Advanced SQL skills, including complex queries, data transformations, and query optimization.
- Strong understanding of data modeling and analytical data structures, including Fact and Dimension tables, SCD, and data grain.
- Strong knowledge of Delta Lake and/or Apache Iceberg.
- Experience building incremental and idempotent data pipelines.
- Experience implementing data quality, validation, testing, monitoring, and observability practices.
- Strong troubleshooting and production support experience.
- Experience with Git, CI/CD pipelines, automated testing, code reviews, and modern software engineering practices.
- Strong analytical and problem-solving skills.
- Good communication skills and the ability to clearly communicate technical concepts and solutions.

## Nice to have

- Experience supporting cloud migration and data modernization initiatives, particularly migrations from GCP to AWS.
- Experience with AWS services, including S3, Glue, and Lake Formation.
- Familiarity with Google Cloud Platform (GCP) or other major cloud platforms.
- Experience with modern Lakehouse architectures and Semantic Layer concepts.
- Experience integrating REST APIs and processing JSON data.
- Knowledge of Data Governance principles and practices.
- Experience with Infrastructure as Code (IaC) tools such as Terraform.
- Experience with data observability and monitoring tools.
- Experience working with sensitive HR/People data and familiarity with LGPD, GDPR, or similar data privacy regulations.
- Familiarity with modern AI-assisted development tools and workflows.

English level

Advanced English proficiency

Work Type: Hybrid

Location: São Paulo

Legal & Hiring Information

- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
- Compensation details are shared with candidates at the early stage of the recruitment process.
- The offer is not binding until a signed contract is in place.

## Your Benefits at Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision

Exadel Culture

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.

## About Exadel Inc (Website)

## Company Overview
- **One-liner**: Exadel is a data and AI advisory and engineering company that helps enterprises design, build, and scale the systems at the heart of their business.
- **Entity Type**: Private (bootstrapped – no external funding rounds publicly disclosed)
- **Headquarters**: Silicon Valley, California, USA
- **Founded**: 1998
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: Enterprise AI engineering, data engineering, digital experience design, program delivery and modernization.
- **Target customers**: Large enterprises in complex, regulated industries (B2B, enterprise).
- **Mission or purpose statement**: “We fuse engineering precision, data intelligence, and AI innovation to help our clients move with purpose and lead with certainty.”

## Products & Services
For each major offering:
- **[AI Engineering]**: From model design to MLOps and integration, Exadel brings responsible AI into production – built for trust and scale.
- **[Data Engineering & Analytics]**: Transforms fragmented data into clean, governed, and AI‑ready ecosystems that power insight and automation.
- **[AI-Enabled Product Engineering]**: Embeds AI into the development process to deliver software that evolves with the client’s business.
- **[Digital Experiences]**: Engineers digital experiences (mobile, enterprise) that move users and drive business outcomes.
- **[Program Delivery and Modernization Leadership]**: Leads complex transformations from discovery to rollout with measurable outcomes at every stage.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: 2,000+ engineers across 30 countries; 100+ enterprise clients; 9/10 client satisfaction rating.
- **Notable Investors/Partners**: Not publicly listed; the company is self‑funded.
- **Growth Signals**: Expanding into the GenAI era with dedicated AI strategy services; 25+ years of delivery in regulated industries; headcount has grown from 1,000+ engineers (earlier phase) to 2,000+ today.

## Competitive Advantages
- **Engineering heritage**: Founded in 1998 in Silicon Valley, with deep roots in software engineering that evolved into data and AI.
- **Outcome ownership**: “We’re not consultants who code, or coders who consult. We’re engineers who own outcomes.” – transparent, accountable delivery.
- **Global scale with local presence**: 2,000+ engineers in 30 countries, enabling flexible, cost‑efficient team composition.
- **Proven track record in regulated industries**: Decades of experience in complex, compliance‑heavy environments build trust and precision.

## Strategic Focus
- Accelerating enterprise adoption of generative AI – moving clients “from experimentation to adoption, and from pilots to platforms.”
- Deepening data intelligence capabilities to feed AI and automation.
- Modernizing legacy systems at market speed while embedding AI into the product development lifecycle.

## Why Work Here
- **Culture**: Outcome‑focused, not hours‑tracked. “Own your time” – trust and autonomy are core.
- **Remote/hybrid/office**: “Work Where It Makes Sense For You” – home, local office, or anywhere in between.
- **Learning & development**: Certifications, courses, conferences covered. “If it levels you up, we’ll cover it.”
- **Benefits**: Localized medical insurance, sports memberships, vouchers, and reimbursements.
- **People**: “Great people every day” – smart, supportive teammates; open dialogue and diverse viewpoints encouraged.
- **Interview process**: 5‑step, transparent, human‑driven (AI helps but doesn’t decide hiring).
- **Global projects**: Work on international, high‑impact AI and engineering projects for Fortune‑scale clients.

## Sources
1. [Exadel About page](https://exadel.com/about/)
2. [Exadel Homepage](https://exadel.com/)
3. [Careers – Life at Exadel](https://exadel.com/careers/life-at-exadel)
4. [Careers – Interview Process](https://exadel.com/careers/careers)
5. [Job Board (Greenhouse)](https://job-boards.greenhouse.io/exadelinc)

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