3 months ago
Remote, IndiaSenior
Responsibilities
- Implement and maintain ERP data connectors and ensure high availability of ERP data.
- Develop, upgrade, maintain, and govern backend APIs and services.
- Improve ERP data storage and build large-scale distributed systems for the Infrastructure Team.
- Develop, optimize, and maintain scalable structured and unstructured data pipelines for the Data Feeds Team.
- Design and refine expandable, high-performance data architecture and reliable internal data services.
- Translate product and business requirements into technical and data solutions, including intuitive data visualizations.
- Integrate and maintain collaborative data with third-party clients and address data mining and analytical needs.
- Collaborate with teams across the US, Singapore, and China, with flexibility for global work hours.
- Enforce data governance, security, and compliance best practices.
Requirements
- Bachelor's degree in Computer Science or a related major.
- 5+ years of backend experience.
- Strong programming skills and knowledge of computer science fundamentals, data structures, and algorithms.
- Excellent proficiency in Go or Python.
- Familiarity with MySQL, Redis, message queues, or NoSQL systems.
- Familiarity with Elasticsearch or Spark for the Data Feeds Team.
- Experience designing and developing large-scale distributed systems for the Infrastructure Team.
- Exposure to cloud infrastructure such as Kubernetes, Docker, Azure, AWS, or GCP.
- Familiarity with ERP systems.
- Strong logic and analysis skills, including the ability to abstract and appropriately divide business logic.
Benefits
- Fully remote opportunity based in India with standard work hours of 8 am to 5 pm IST.
- Vacation time, parental leave, team events, and learning reimbursement.
- Ownership-focused environment emphasizing growth, respect, trust, and skill development.
Tech Stack
Categories
BackendData Engineering
About YipitData
YipitData provides alternative data, analytics, and sector research to institutional investors and enterprises, delivered via subscription data products and reports. Its proprietary technology aggregates and analyzes consumer and transactional signals across sectors such as e-commerce, payments, and software to produce timely insights. Founded in 2013 and headquartered in New York, it is privately held and backed by The Carlyle Group, with global offices in the US, APAC, and India.