about 16 hours ago
Responsibilities
- Design and build scalable data quality frameworks and validation systems for financial data.
- Own services end-to-end, from architecture and implementation to operational support.
- Build tools and interfaces for operations teams to identify and resolve data issues efficiently.
- Design and deploy resilient, scalable cloud-native infrastructure on AWS using Terraform.
- Collaborate with product managers, data engineers, and operations stakeholders to deliver high-impact features.
- Work with modern data processing technologies like pySpark and Databricks to build and monitor data pipelines.
- Contribute to the Data Platform vision of making data discoverable, trustworthy, and actionable.
Requirements
- Extensive professional software engineering experience.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or equivalent practical experience.
- Strong proficiency in Java, Python, or a similar object-oriented language.
- Experience with SQL and both relational and NoSQL database systems.
- Proven experience building and operating distributed systems and processing data at scale.
- Strong problem-solving skills and ability to explore complex problems from multiple perspectives.
- Excellent written and verbal communication skills for collaboration across teams.
- Self-driven and comfortable in a fast-paced environment with shifting priorities.
- Experience writing Infrastructure as Code and deploying cloud-native infrastructure on AWS.