Senior Data Engineer (Java, GCP) - OP01386
São Paulo, State of São Paulo, Brazil - Remote
Dev.Pro
🟢 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:
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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
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