Senior Data Engineer (Java, GCP) - OP01386

São Paulo, State of São Paulo, Brazil - Remote

🟢 Are you in Brazil, Argentina, Colombia? Join us as we actively recruit in these locations, offering a comfortable remote environment. Submit your CV in English, and we'll get back to you!

We invite a highly skilled and proactive Data Engineer with robust Java expertise and profound GCP knowledge to join our team. You’ll help us build a Transaction Routing Simulator leveraging an existing Real-Time Routing solution. This transaction simulator API will utilize provider data to optimize transaction routing paths and maximize cost savings for a number of large merchants, including popular chains of convenience stores.

🟩 What's in it for you:

  • Work with a Fortune 500 company boasting a global presence
  • Gain hands-on experience with the latest Java technologies, Big Data, GCP, clusters, etc.
  • Grow your technical expertise across diverse payment processing domains

✅ Is that you?

  • 4+ years of commercial Data Engineering experience
  • 1.5+ years of Java experience
  • Practical experience in building data pipelines and data warehousing
  • Hands-on experience with Apache Beam, Spark, or ETL tools used for large-scale data processing tasks
  • Hands-on database experience (SQL, MongoDB, etc.)
  • Practical GCP experience (Dataproc, Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Run, Cloud Functions)
  • Technical expertise with data technologies and machine learning techniques
  • Ability to write reusable code components
  • Great numeracy and analytical skills
  • Upper-Intermediate English level
  • Advanced communication and collaboration skills

Desirable:

  • Familiarity with database migration tools (e.g., Alembic) and automated build and deploy tools
  • Solid understanding of payment system mechanisms
  • A degree in Computer Science, IT, or related field

🧩Key responsibilities and your contribution

For this role, you’ll need to be both an independent decision-maker and a reliable team player, highly functional and capable of handling complex tasks with optimal efficiency.

  • Work with large, complex data sets and high-throughput data pipelines that meet business requirements
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources
  • Build data and analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics
  • Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
  • Collaborate with software engineers and architects on the project

🎾 What's working at Dev.Pro like?

Dev.Pro is a US-based outsource company with an ambitious and creative mindset that has been delivering superior software products since 2011. Known for its strong human focus, Dev.Pro promotes a work environment that is fair, inclusive, open-minded, and friendly toward people of every race, religion, gender, cultural background, marital/parental status, etc. By joining Dev.Pro, you'll feel what it's like to grow with professionals who support your journey.

🌴🏄🏻 Maintain a healthy work-life balance with 30 paid rest days per year to use as holidays/vacation/other on the desired and requested dates
💎📚 Grow by learning: you have a chance to shift your career path, access English lessons, DP University educational flows, and other educational initiatives
💵💰 Make sure the compensation matches your efforts: we provide payments in US dollars and cover overtime hours
💃🏼🕺 Join fun online activities and team-building events
👩💻🖥 Get continuous remote HR and payroll support

Our next steps:

✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Offer

Interested? Find out more:

📋How we work

💻 LinkedIn Page

📈 Our website

💻IG Page

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: APIs Big Data BigQuery Bigtable Computer Science Data pipelines Dataproc Data Warehousing Engineering ETL GCP Java Machine Learning MongoDB Pipelines Spark SQL

Perks/benefits: Career development Team events

Regions: Remote/Anywhere South America
Country: Brazil

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