Principal Data Engineer - Cybersecurity

Company Description

For over 30 years, Silicon Valley Bank (SVB) has helped innovative companies and their investors move bold ideas forward, fast. SVB provides targeted banking services to companies of all sizes in innovation centers around the world. 

Job Description

Job Description

When you work with the world's most innovative companies, you know you're making a difference.

Our clients are the game changers, leaders and investors who fuel the global innovation economy. They're the businesses behind the next medical breakthroughs. And the visionaries whose new technologies could transform the way people live and work.

They come to SVB for our expertise, deep network and nearly forty years of experience in the industries we serve, and to partner with diverse teams of passionate, enterprising SVBers, dedicated to an inclusive approach to helping them grow and succeed at every stage of their business.

Join us at SVB and be part of bringing our clients' world-changing ideas to life. At SVB, we have the opportunity to grow and collectively make an impact by supporting the innovative clients and communities SVB serves. We pride ourselves in having both a diverse client roster and an equally diverse and inclusive organization. And we work diligently to encourage all with different ways of thinking, different ways of working, and especially those traditionally underrepresented in technology and financial services, to apply.

Qualifications

• Bachelors degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience

• Experience implementing applications supporting data lakes, data warehouses and data applications on AWS for large enterprises

• Programming experience with Python, Shell Scripting and SQL

• Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc

• Experience in AWS data lake/data warehouse/business analytics

• Knowledge of ETL/ELT in Cloud and on-premise

• End-to-end data solutions (ingest, storage, integration, processing, access) on AWS

• Architect and implement CI/CD strategy for Data platform

• Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift

• Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift

• 6+ years of experience as Software/Data/DevOps engineer

• Strong AWS data and analytics engineering experience

• Strong knowledge and hands on experience on Data lake and warehouse Architecture in Cloud

• Strong knowledge on Microservice based design patterns

• Experience developing business applications using NoSQL/SQL databases

Responsibilities

• As a part of our organization, you will develop applications supporting data projects in a cost effective and scalable manner

• Design components and applications according to business requirements

• Work along with other Tech Leads, Product Managers, and Engineering Managers

• Generate detailed stories with accomplished, planned, and blocked tasks

• Identify and mitigate risks, including security risks

• Actively promote a Code Review culture and review the teams Pull Requests

• Designing, building and maintaining efficient, reusable, and reliable architecture and code

• Ensure the best possible performance and quality of data services

• Influence architectural and system design discussions

• Automation of

• Independently perform hands on development and unit testing of the applications;

• Collaborate with the development team and build individual components into complex enterprise systems

• Work in a team environment with project, production operations, metrics management, QA and cross functional teams to deliver a outcomes throughout the cycle

• Responsible to identify and resolve any performance issues

• Keep up to date with new technology development and implementation

• Participate in code review to make sure standards and best practices are met

Additional Information

Locations: Austin, TX/ Tempe, AZ/ Atlanta, GA/ Charlotte, NC.