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YipitData is hiring 2 senior software engineers (alternative title: senior backend engineer). One will join our Infrastructure Team, and the other will join our Data Feeds Team. This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.
Job Responsibility:
ERP Data Connector Specialist: implementing connectors to fetch ERP data and ensure high availability
Backend API Master: implementing or upgrading backend APIs to fit new demands
ERP Data Storage Maestro: take charge of the ERP system’s data storage and related improvements
Business-Tech Liaison: understand business requirements and design technical solutions
Service Maintenance and Upgrade Champion: maintain existing services and perform iterative upgrades
Global Team Player: work with US/SG/China teams and be flexible with work hours
Data Pipelines Maestro: develop, optimize, and maintain super-scalable data pipelines
Data Systems Guardian: maintain and enhance stability, reliability, and high availability of existing data systems
Data Architecture Builder: construct and refine an expandable, high-performance data architecture
Data Services Provider: serve up high-quality, rock-solid data services to internal users
Business-Aligned Data Designer: design and implement data functionalities with intuitive visualizations
Third-Party Data Integrator: oversee integration and maintenance of collaborative data with third-party clients
Data Governance Enforcer: enforce best practices in data governance, security, and compliance
Requirements:
Bachelor's degree in Computer Science, or related majors
5+ yrs backend experience
Solid computer foundation and programming skills, familiar with common data structures and algorithms
Excellent in one of the following languages: Go/Python
Familiarity with one of open source components: Mysql/Redis/Message Queue/Nosql
Familiarity with ElasticSearch OR Spark (for Data Feeds Team)
Experience in architecture and developing large-scale distributed systems. (for Infrastructure Team)
Excellent logic analysis capabilities, able to abstract and split business logic reasonably
Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP
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