Senior Data Infrastructure Engineer at PayPal

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Infrastructure, Software Development, Cloud Databases, Distributed Systems, Message Streaming, AWS, SQL, NoSQL, Infrastructure as Code, Python, Java, Bash, Big Data Operations, Apache Spark, Communication Skills, TLS/mTLS

Industry

Software Development

Description

Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles. Advises immediate management on project-level issues Guides junior engineers Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices Applies knowledge of technical best practices in making decisions 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. Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. 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 on-prem/cloud databases/data-warehouses and/or distributed systems 24x7x365 Experience with operating/maintaining message streaming solutions like AWS SQS, Apache Kafka etc. Ability to troubleshoot problems Hands-on experience with designing and implementing infrastructure to support global-scale services Hands-on experience with IaaS and PaaS solutions from AWS (or similar cloud provider): Infrastructure as code (AWS CLI, AWS CloudFormation, Terraform, Ansible, Puppet) Hands-on programming and scripting (Lambda, API GW, Python, Java, Bash) Hands-on experience with big data operations including, but not limited-to- AWS S3, AWS DMS, AWS SQS, Luigi, AWS EKS, Apache Spark, AWS Glue. Strong communication skills with the ability to understand and explain technical issues to a non-technical audience Understanding of TLS/mTLS protocols from the application's perspective (server certificates, client authentication etc) is a plus AWS Solutions Architect is a plus

Responsibilities

Design, implement, and operate data infrastructure initiatives to provide a secure, scalable, reliable, and performant platform. Collaborate with stakeholders to assist with data-related technical issues and support their data infrastructure needs.