About the Role
The role involves developing robust data pipelines, ensuring data accuracy, and enabling insights through efficient data infrastructure. The engineer will work closely with analytics and product teams to deliver reliable data solutions.
Responsibilities
- Design and implement data pipelines for ingestion and transformation
- Ensure data quality and consistency across systems
- Optimize data storage and retrieval performance
- Collaborate with analytics teams to understand data requirements
- Support data warehouse architecture and operations
- Monitor and troubleshoot data workflows
- Maintain documentation for data processes and structures
- Improve data reliability and availability
- Integrate data from multiple sources
- Develop automated testing for data integrity
- Work with engineering teams to align on data standards
- Implement data security and access controls
- Scale infrastructure to meet growing data demands
- Evaluate and adopt new data technologies
- Participate in code reviews and system design discussions
- Respond to data-related incidents promptly
- Contribute to data governance initiatives
- Ensure compliance with data policies
- Support business intelligence reporting needs
- Enhance data modeling practices
- Streamline ETL processes
- Assist in defining data strategy
- Use version control for data pipeline code
- Apply software engineering best practices to data systems
- Drive continuous improvement in data operations
Nice to Have
- Experience with real-time data processing
- Background in machine learning data pipelines
- Familiarity with streaming platforms like Kafka
- Knowledge of data mesh or lakehouse architectures
- Experience in fintech or high-volume transaction systems
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model
Team
Collaborative data and engineering team environment
About Us
We are a technology-driven company focused on delivering innovative financial solutions through data and automation.
What We Value
- We prioritize ownership, transparency, and continuous learning in our team culture.
- We believe in building systems that are reliable, scalable, and user-centered.
Available for qualified candidates
