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You will be updated with latest job alerts via emailYou will be working for a US-based technology company with the leading Software Web and mobile app development for business in North America helping independent retailers adopt and embrace this new key component of their digital marketing build andmaintain thousands of retailer websites that must run reliably efficiently and effectively.
Were looking for a Senior Engineer with a strong background in data engineering to help us scale and optimize the infrastructure that powers our e-commerce data pipelines services and analytics. Youll play a key role in building high-performance event-driven systems and data platforms using Google Cloud Platform (GCP) and Kubernetes
As part of our data engineering team youll work closely with product analytics and frontend teams to deliver reliable scalable and real-time data solutions that directly impact customer experience inventory systems personalization and business insights
The Responsibilities
Design and implement robust scalable backend services in Python and other technologies to process and deliver real-time and batch data for analytics personalization and search Integrate new data sources and improve existing ones using many different methods
Architect and manage cloud-native data infrastructure on GCP (e.g. BigQuery Dataflow Pub/Sub Cloud Storage) Work primarily in Node JS for data extraction and transformation
Build and optimize data orchestration and deployment pipelines using Kubernetes and modern CI/CD tooling
Partner with frontend teams to expose data via internal dashboards admin tools and customer-facing components
Ensure data reliability availability and security across all services and systems
Collaborate with data scientists analysts and other engineers to build tools that unlock business insights from large-scale data
Help define data governance quality and observability standards
FinOps exposure/execution - you will have a lead role on a small team in cost auditing existing cloud infrastructure in GCP and proposing and collaborating on engineering changes needed cost to optimize cloud spends
Mentor other engineers and contribute to a culture of technical excellence and continuous learning
5 years of experience in backend or platform engineering with a focus on data-intensive systems
Strong experience with and modern JavaScript/TypeScript development
Deep hands-on experience with Google Cloud Platform including BigQuery Pub/Sub Cloud Functions and GKE
Proficient in Kubernetes for deploying and scaling data services
Working knowledge of React for integrating backend systems with internal tools or dashboards
Solid understanding of data modeling pipelines and streaming architectures
Experience building and maintaining CI/CD pipelines for data applications
Strong experience working with Google Cloud Platform (GCP) BigQuery Dataflow Pub/Sub Cloud Storage Kubernetes
Experience with FinOps best practices and auditing procedures
Strong understanding of deduplication to optimize data storage and reduce cloud costs
Strong English communication skills
PLEASE SUBMIT YOUR RESUMES IN ENGLISH
Your application has been successfully submitted!
Required Experience:
Senior IC
Full-Time