2 months ago
São José dos Campos, BrazilSenior
Responsibilities
- Collaborate with data scientists, analysts, software engineers, product managers, and customers to understand requirements and develop data solutions.
- Design, develop, deploy, and operate production ELT pipelines and scalable data architectures.
- Integrate data from diverse sources and formats while ensuring compatibility, consistency, and reliability.
- Establish and promote best practices for performance, code quality, data validation, governance, and discoverability through mentoring, training, and knowledge sharing.
- Implement testing, monitoring, and validation protocols to maintain accurate, complete, reliable, relevant, and timely data.
- Identify and resolve performance bottlenecks and optimize query performance and resource utilization using caching, indexing, partitioning, and Spark optimizations.
Requirements
- Fluency in English and Portuguese.
- More than eight years of experience building robust, scalable data environments.
- High proficiency with Python, PySpark, SQL, Airflow, Hadoop, Spark, Kafka, and Git.
- Strong understanding of data engineering practices and how analytics can support business outcomes.
- Consistent application of sound engineering principles when building data pipelines.
- Ability to communicate complex outcomes clearly to varied audiences.
- Good understanding of the payments industry, particularly Brazilian market requirements, is highly desirable.
Benefits
- Work onsite three days per week in São José dos Campos.
- Relocation package available for candidates relocating from more than 70 km away.
- Office-first work environment; remote-only work is not offered.
- Adyen emphasizes career support, diversity, equity, inclusion, and in-person collaboration.
Tech Stack
Categories
Data Engineering
About Adyen
Adyen builds a unified payments and financial technology platform for large merchants and platforms, offering card processing, POS, mobile, and global acquiring, plus risk and data tools. It sells payment processing and related services directly to businesses, earning fees per transaction. Founded in 2006 and headquartered in Amsterdam, it is a public company listed on Euronext Amsterdam (AMS: ADYEN) with customers including Meta, Uber, and H&M.