Data Engineer

Ria Money Transfer; São Paulo; Presencial; BRL 240 000 - 360 000; Tempo integral

Resumo da oferta

Ria Money Transfer is seeking a data engineer to design, build, and maintain scalable data pipelines for batch and real-time analytics. You will ingest, transform, and store data to enable reporting and data products across the business.

The role requires strong Python and SQL skills, experience with AWS and Spark, and a disciplined approach to data quality and governance. You will collaborate with analysts, BI teams, and engineers to deliver reliable data platforms.

Qualificações

• 4+ years of experience as a Data Engineer or similar role.
• Strong proficiency in Python and SQL.
• Hands-on experience designing and building ETL/ELT pipelines.
• Experience with batch and real-time processing environments.
• Data modeling knowledge (relational and dimensional).
• Familiarity with cloud-based data platforms, preferably AWS.
• Experience with data warehouses and/or data lakes.
• Knowledge of data quality, validation, monitoring, and observability.

Responsabilidades

• Design, build, and maintain scalable data pipelines for batch and real-time processing.
• Develop end-to-end data solutions for analytics and reporting.
• Build and optimize ETL/ELT processes integrating multiple sources.
• Ensure accuracy, consistency, and quality of data across pipelines.
• Design and maintain scalable data models and storage solutions.
• Monitor and optimize pipelines for performance and cost.
• Implement data validation, testing, and monitoring processes.
• Collaborate with Analysts, BI teams, Engineers, and stakeholders to meet data needs.
• Support datasets and data products for reporting and decision-making.
• Contribute to data engineering standards and governance.
• Document pipelines and processes for maintainability.

Conhecimentos

Python

SQL

ETL/ELT pipelines

Batch processing

Real-time processing

Data modeling

AWS

Data warehouses/lakes

Apache Spark

Data orchestration

Data quality/observability

Version control

English communication

Ferramentas

AWS

Apache Spark

Apache Airflow

dbt

Docker

Kubernetes

Descrição da oferta de emprego

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.

ROLES & RESPONSIBILITIES

• Design, build, and maintain scalable and reliable data pipelines for batch and real-time processing.
• Develop end-to-end data solutions, from data ingestion and transformation to storage and delivery for analytics and reporting.
• Build and optimize ETL/ELT processes to integrate data from multiple internal and external sources.
• Ensure the accuracy, consistency, reliability, and quality of data across pipelines and platforms.
• Design and maintain scalable data models and data storage solutions to support business and operational needs.
• Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
• Implement data validation, testing, and monitoring processes to identify and resolve data quality issues.
• Collaborate with Data Analysts, Business Intelligence teams, Software Engineers, and business stakeholders to understand data requirements and deliver scalable solutions.
• Support the development of datasets and data products used for reporting, analytics, and operational decision-making.
• Contribute to the definition and implementation of data engineering standards, best practices, and governance.
• Document data pipelines, data models, and technical processes to ensure maintainability and knowledge sharing.

POSITION REQUIREMENTS

• 4+ years of experience as a Data Engineer or in a similar data-focused engineering role.
• Strong proficiency in Python and SQL.
• Hands-on experience designing and building ETL/ELT pipelines.
• Experience working with large and complex datasets in both batch and real-time processing environments.
• Strong knowledge of data modeling, including relational and dimensional modeling concepts.
• Experience with cloud-based data platforms and services, preferably AWS.
• Experience with data warehouses and/or data lakes.
• Familiarity with distributed data processing technologies such as Apache Spark.
• Experience working with data orchestration and workflow management tools.
• Knowledge of data quality, validation, monitoring, and observability practices.
• Experience with version control and software development best practices.
• Strong problem-solving and analytical skills.
• Excellent written and verbal communication skills in English.

PREFERRED QUALIFICATIONS

• Experience with AWS data services such as S3, Glue, Redshift, EMR, Athena, Lambda, or Kinesis.
• Experience with data orchestration tools such as Apache Airflow.
• Familiarity with infrastructure as code and automation tools.
• Experience with streaming and event-driven architectures, such as Kafka or AWS Kinesis.
• Experience with modern data transformation tools such as dbt.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience working in a financial services, payments, fintech, or other highly regulated environment.
• Experience supporting data platforms used by multiple teams and stakeholders.