Senior Software Engineer

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YipitData (Alternative)Software Development
India, ISTFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
5+ yrs
Required Skills
AWSBackend DevelopmentDockerPythonSQLCloud ComputingElasticSearchGCPKubernetesMySQLAlgorithmsAPI testingAzureData engineeringData StructuresGoRedisNosqlSparkCI/CDRESTful APIsLinuxData visualizationData management

Requirements

  • Bachelor's degree in Computer Science, or related majors.
  • 5+ years backend experience.
  • Solid computer foundation and programming skills, familiar with common data structures and algorithms.
  • Excellent in Go or Python.
  • Familiarity with MySQL, Redis, Message Queue, or 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.
  • Exposure to cloud infrastructure, such as Kubernetes/Docker, Azure/AWS/GCP.
  • Familiarity with ERP systems.

Responsibilities

  • Implement connectors to fetch ERP data with high availability.
  • Implement or upgrade backend APIs to meet evolving customer requirements.
  • Manage ERP system's data storage and implement related improvements.
  • Understand business requirements and design technical solutions.
  • Maintain existing services, perform iterative upgrades, and deploy improvements.
  • Take charge of service governance.
  • Work with US/SG/China teams and be flexible with work hours.
  • Develop, optimize, and maintain super-scalable data pipelines.
  • Maintain and enhance stability, reliability, and high availability of data systems and services.
  • Construct and refine an expandable, high-performance data architecture.
  • Serve high-quality data services to internal users.
  • Design and implement data functionalities and visualizations based on business requirements.
  • Oversee integration and maintenance of collaborative data with third-party clients.
  • Solve data mining and analytical problems for third-party clients.
  • Enforce best practices in data governance, security, and compliance.
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