Senior Engineer - Data Infrastructure

Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff Follows well-established internal conventions and standard procedures Understands internal standards & processes an applies them to make technical decisions Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions May contribute to code & design reviews Design, implement and operate data infrastructure's initiatives to provide secure, scalable, reliable and performant platform to Venmo product, analytics and the other infrastructure teams Automate provisioning, management and monitoring solutions for the supported data infrastructure Build and implement scalable and reliable data pipeline architecture to optimize overall performance. Build tools that help users leverage our data into actionable insights to improve our customers' experiences, operational efficiency, and business performance. Build and implement message streaming solutions for Venmo applications with AWS SQS, Apache Kafka etc Collaborate with stakeholders including the Executive, Product, Engineering and Analytics teams to assist with data-related technical issues and support their data infrastructure need. Collaborate with teammates on planning and execution of initiatives. Process, extract and manage relational databases and systems such as query authoring (SQL) and NoSQL databases. Create large, complex data sets that meet functional and non-functional business requirements. Demonstrable ability to learn new technologies and process practices. 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Data Infrastructure at Venmo The Venmo Data Infrastructure team supports Venmo's internal and customer impacting data movements and message streaming infrastructure. Venmo Data Infrastructure team is actively engaged in partnering with development groups, platform and infrastructure teams, providing deep subject matter expertise to feature design as well as an advocate for analyzing and resolving customer and performance issues at scale. Bachelors and/or master's in computer science or related field of study 3+ years' experience in software development or a related field 3+ years' experience operating global scale high throughput AWS native data pipelines Hands-on experience with designing and implementing infrastructure to support global-scale services Experience with operating/maintaining message streaming solutions like AWS SQS, Apache Kafka etc. Ability to troubleshoot problems 3+ years relevant experience and a Bachelor's degree, OR any equivalent combination of education and experience