Senior Data Engineer

GM•Austin, TX

16h•Hybrid

About The Position

Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to the Austin Innovation Technical Center, three times per week. We are the Physical eCommerce Software Engineering team within the Digital Products Engineering (DPE) organization at GM. Our team is responsible for the GM Global B2C and B2B eCommerce solution for physical products (Parts & Accessories), and provide backend services for the sales of GM Energy Products (Home Charger and Charger Adapters). We collaborate closely with Accessories marketing and CCA businesses driving online sales through our platform, providing an end to end digital and innovative experience at scale while providing meaningful value to our customers through a seamless customer experience. Our main goals are improving the customer experience, driving sales, and expanding our solution to other potential lines of business for physical products with the opportunity to explore Market Place approaches. As a Software Engineering team our mission is to rapidly and relentlessly ideate, iterate, and launch the innovative solutions to connect GM with current and future customers. Our team comprises industry-leading software, quality, dev ops and data engineers, who utilize a variety of innovative development methodologies and technologies to achieve breakthrough results, drive innovation, delight customers, and keep our environments available to help business to achieve revenue goals. The Role We’re seeking a passionate and experienced Senior Data Engineer to lead design, implementation, and improvements to the database schemas and ETL processes. You will play a key role in performance optimization, managing data across environments, and debugging complex issues. You will also be responsible for detection and resolution of production data issues, along with root cause analysis and preventative measures. You will be responsible for helping to lead our engineering efforts through planning, design and architecture, and execution. As a technical leader on the team, you will drive best practices, mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture.

Requirements

Bachelor’s degree in computer science or related field or related practical experience
5+ years of professional experience with a focus in data engineering
Master level proficiency in Java, Python, and BASH scripting
Mastery in comprehension and application of data architecture standards and design patterns.
Mastery of table and query tuning, data loading, and data management techniques
Expert Knowledge of data replication and/or disaster recovery capabilities
Mastery in identifying gaps in data to support requests and deliver business value
Mastery in breaking down deliverables into tasks with estimates and dependencies
Mastery in core set of relational or NoSQL databases (i.e Oracle and Postgres)
Ability to drive architecture change in order to provide world class data solutions
Excellent oral and written communication skills

Nice To Haves

10+ years of professional experience in software industry
5+ years of experience contributing to the architecture, documentation and design of new and existing systems (architecture, design patterns, reliability, and scaling)
Professional experience in an eCommerce space
Professional experience working with HCL Commerce
Professional experience with Datadog
Professional experience integrating with Coveo search platform
Experience with automotive industry standards

Responsibilities

Drive the design, implementation, and optimization of database schemas
Own our ETL processes for Parts and Accessories catalogs, pricing, fitment, and related data
Identify gaps and improvement opportunities in existing processes, and design/implement new solutions
Improve reliability of ETL processes, reducing incidents counts and time to detect/resolve issues
Performance tuning of SQL queries and ETL processes
Work with data, development, and operations teams to design solutions and debug complex issues
Plan and lead production database and ETL activities with zero disruption or downtime
Identify gaps and improvement opportunities in monitoring systems
Lead efforts in migrating to new platforms and technologies
Work closely with junior data engineers to grow their skillsets
Understand and adhere to Autocare industry standards
Initiate, plan, and execute large-scale, cross functional, and org-wide critical programs
Leverage your technical leadership to ensure we adhere to engineering best practices, and evangelize opportunities to improve engineering productivity and craftsmanship
Lead code reviews, establish best practices, and contribute to a culture of continuous improvement.