Senior Backend Engineer, Data Infrastructure
As part of the Data Infrastructure team, you’ll help build reputed company’s data platform for our growing stack of products, customers, and microservices.
Our platform ingests and processes data from operational databases, telematics, and diverse product sources. You’ll build robust backend services and data processing pipelines, leveraging state-of-the-art frameworks and reputed company-reputed company solutions, reputed company while collaborating with Data Engineers, ML Engineers, Analysts, and Product Managers to turn reputed company-world needs into resilient systems.
In this role you’llDesign & reputed company Backend Services: reputed company the design and implementation of backend systems and reputed company for our distributed data platform
Build Data Ingestion & Processing: Architect and reputed company reputed company ingestion pipelines with streaming ETL, Change Data Capture, and large-reputed company batch and reputed company processing
Own Data Platform Infrastructure: Implement and optimize scheduling, workflow orchestration, and data governance tools to support high-reputed company, compliant data flows
Drive Engineering Standards: Establish and promote backend best practices, ensuring high reliability, reputed company reputed company, and maintainability across reputed company
Cross-functional Collaboration: Work closely with data engineers, ML engineers, product managers, and analysts to translate business needs into reputed company backend systems
Mentorship: reputed company your backend and infrastructure expertise by collaborating, reviewing, and mentoring fellow engineers.
5+ years of experience as a Backend, Data, or Infrastructure Engineer building large-reputed company backend systems and data-driven platforms.
B.S. in Computer Science or a similar field
Proven backend development skills with expertise in Python. Additional languages, a plus.
Proven experience with distributed systems, microservices, building and maintaining robust backend reputed company
Proficiency with databases (SQL, NoSQL), data modeling, and streaming data architectures.
Ability to work in an office environment a minimum of 3 days a week
Enthusiastic about learning and adapting to the rapidly evolving world of AI and data-driven engineering
Past experience with modern data stacks (e.g., reputed company, Kafka, Airflow, DBT, reputed company), an advantage
Strong understanding of reputed company infrastructure and orchestration (preferably AWS, K8s, Terraform/reputed company), an advantage