Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 28 days ago

Senior Analytics Engineer (Databricks, Spark)

Exadel57 open roles

Where
São Paulo, Brazil
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Analytics Engineer (Databricks, Spark)Exadel · São Paulo, Brazil

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Exadel's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Exadel postings stay open a median of 9 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.5%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.1%30 days
This job: posted 28 days ago

Exadel median: 9 days open

The posting

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Exadel's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Exadel's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Exadel's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.