Description
Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top-up, bill payment and check cashing services, offering a reliable omnichannel experience. With over 600,000 locations in nearly 200 countries and territories, our purpose remains to open ways for a better everyday life.
We believe we can create a world in which people are empowered to build the life they dream of, no matter who they are or where they are. One customer, one family, one community at a time.
ABOUT THIS ROLE
We are seeking an experienced Data Engineer to join our dynamic Data team. If you’re passionate about transforming raw data into actionable insights, this role offers an exciting opportunity to work with a best-in-class cloud data architecture. You will help power a data ecosystem driven by 280 million annual visitors across our web and app platforms, leveraging an enterprise-grade, event-based stack to unlock limitless possibilities. In this role, you’ll have the freedom to design and build robust data pipelines, integrate diverse data sources, and create meaningful business insights that accelerate product innovation and growth. If you also excel at API design and cloud-native services, this is the perfect opportunity to make an impact.
ROLES & RESPONSIBILITIES
- Design, develop, and maintain high-performance API services to meet diverse data requirements.
- Build and manage robust ETL pipelines in Python, leveraging AWS ECS for real-time processing and AWS Glue and Lambda for batch workflows.
- Build and manage real-time data pipelines using AWS Kinesis Data Streams and Firehose for efficient ingestion and delivery to target destinations.
- Administer raw and curated datasets in AWS S3 to support scalable data lake architectures.
- Provide AWS Athena tables to enable advanced querying and analytics for serverless data insights.
- Create and maintain relational databases and tables on AWS RDS (PostgreSQL) and AWS Athena to support scalable data solutions.
- Design and implement data-processing workflows that extract, validate, and structure information from images and scanned documents using OCR and LLM-based models.
- Design and implement data models to support efficient storage, retrieval, and analytics across structured and unstructured datasets.
- Monitor system health and performance using observability tools such as AWS CloudWatch, Grafana, and Datadog.
- Implement best practices in cloud-native development, CI/CD, automation, and Infrastructure as Code with Terraform, collaborating with DevOps team
- Optimize all components for cost efficiency, performance, reliability, and security.
- Collaborate closely with Data Scientists, ML Engineers, and System Engineers to deliver data-driven solutions.
POSITION REQUIREMENTS
- Bachelor’s in Computer Science, Software Engineering, or related field.
- 3+ years of practical experience in Data Engineering, including the design, development, and optimization of data pipelines and workflows.
- Proficiency in Python, with demonstrated expertise in both object-oriented and service-oriented programming paradigms.
- Familiarity with PySpark for distributed data processing and scalable ETL workflows on AWS Glue is an added plus.
- Strong command of SQL, data warehousing techniques, and management of both structured and unstructured datasets.
- Hands-on experience with AWS Glue, Lambda, S3, Athena, RDS Aurora PostgreSQL, DynamoDB, and ECS.
- Experience maintaining GitHub repositories, including overseeing branching strategies and collaborating closely with DevOps teams on code merges.
- Familiarity with containerisation technologies such as Docker and Docker Compose.
- Comfortable operating within an Agile framework, utilizing Jira for project management and sprint planning.
- Exceptional communication and collaboration abilities, with proven experience engaging effectively with internal stakeholders.
- Knowledge of cloud security best practices, and compliance frameworks.
- Knowledge of or practical experience processing images and scanned documents using OCR technologies or LLM-based models, including extracting, validating, and transforming unstructured content into usable data.
- Nice to have: Strong understanding of privacy requirements, data security protocols, and regulatory standards.
PERKS & BENEFITS
- Medical & Dental Coverage (Co-payment model)
- Life Insurance Policy
- Daily Food Allowance: R$ 48/day
- Commuter Subsidy (only for those who go to the office)
- Corporate Phone
- Work From Home (WFH)
- Language Learning Support
- Fitness & Wellness Subsidy (Wellhub/Gympass)
Ria Money Transfer is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Check out our website to learn more about the company at: http://www.riamoneytransfer.com/
The position responsibilities outlined above are intended to define the general contents and requirements to perform this job. It is not to be taken as a complete statement of responsibilities or requirements. This job description does not restrict the Company’s right to assign or reassign duties and responsibilities to this job as needed.
Bachelor's in Computer Science or related field; 3+ years data engineering experience; proficiency in Python, SQL, AWS Glue, Lambda, S3, Athena, RDS, DynamoDB, ECS; GitHub, Docker, Jira; knowledge of OCR/LLM processing.
Key Responsibilities
- designing data pipelines
- building ETL workflows
- managing cloud data
Skills & Tools
Python, AWS ECS, AWS Glue, AWS Lambda, AWS Kinesis Data Streams, AWS Firehose, AWS S3, AWS Athena, AWS RDS, PostgreSQL, OCR, LLM, AWS CloudWatch, Grafana, Datadog, Terraform, PySpark, SQL, DynamoDB, GitHub, Docker, Docker Compose, Jira
Job Details
- Category: Data and Analytics
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — Barueri, São Paulo, Brazil
- Languages: English
About Ria Money Transfer
A global money transfer and financial services company providing fast, secure, and affordable services. — Industry: Finance