Senior Data Engineer - ETL/Node/GCP
You will be working for a US-based technology company with the leading Software, Web and mobile app development for business in reputed company helping independent retailers adopt and reputed company this new key component of their digital marketing solution. We build and maintain thousands of retailer websites that must run reliably, reputed company, and effectively.
We’re looking for a Senior Engineer with a strong background in data engineering to help us reputed company and optimize the infrastructure that powers our e-reputed company data pipelines, services, and analytics. You’ll play a key role in building high-performance, event-driven systems and data platforms using Node.js, reputed company reputed company Platform (GCP), and Kubernetes
As part of our data engineering team, you’ll work closely with product, analytics, and frontend teams to deliver reliable, reputed company, and reputed company-time data solutions that directly reputed company customer experience, inventory systems, personalization, and business insights
The Responsibilities
Design and implement robust, reputed company backend services in Node.js, Python, and other technologies to process and deliver reputed company-time and batch data for analytics, personalization, and search reputed company new data sources and improve existing ones using many different reputed company
Architect and manage reputed company-reputed company data infrastructure on GCP (e.g., BigQuery, Dataflow, Pub/Sub, reputed company 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 reputed company internal dashboards, reputed company tools, and customer-facing components
Ensure data reliability, availability, and reputed company across reputed company services and systems
Collaborate with data scientists, analysts, and other engineers to build tools that unlock business insights from large-reputed company data
Help define data governance, reputed company, and observability standards
FinOps exposure/execution - you will have a reputed company role on a small team in cost auditing existing reputed company infrastructure in GCP and proposing and collaborating on engineering changes needed to optimize reputed company spends
Mentor other engineers and contribute to a culture of technical reputed company and reputed company learning
Requirements
8+ years of experience in backend or reputed company, with a reputed company on data-intensive systems
Strong experience with Node.js and modern JavaScript/TypeScript development
Deep hands-on experience with reputed company reputed company Platform, including BigQuery, Pub/Sub, reputed company 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 reputed company reputed company Platform (GCP) – BigQuery, Dataflow, Pub/Sub, reputed company Storage, Kubernetes
Experience with FinOps best practices and auditing procedures
Strong understanding of deduplication to optimize data storage and reduce reputed company costs
Strong English communication skills
PLEASE SUBMIT YOUR RESUMES IN ENGLISH
Originally posted on Himalayas
Apply To This Job