What You’ll Do
Key Responsibilities
Collaborate with vendors to gather requirements for API development and ensure
technical feasibility.
Collect API documentation from vendors; document and explain business logic to
use external data sources effectively.
Access vendor applications to create and validate sample data; ensure the accuracy
and relevance of test datasets.
Translate complex business logic into documentation for developers, ensuring
clarity for successful integration.
Monitor all integration activities and support tickets in Jira, proactively resolving
critical issues.
Lead QA testing for integrations, overseeing pilot onboarding and ensuring solution
viability before broader rollout.
Document onboarding processes and best practices to streamline future
integrations and improve efficiency.
Build, train, and deploy machine learning models for forecasting, pricing, and
optimization, supporting strategic goals.
Drive end-to-end execution of data integration projects, including scoping, planning,
delivery, and stakeholder communication.
Gather and translate business requirements into actionable technical specifications,
liaising with business and technical teams.
Oversee maintenance and enhancement of existing integrations, performing RCA
and resolving integration-related issues.
Document workflows, processes, and best practices for current and future
integration projects.
Continuously monitor system performance and scalability, recommending
improvements to increase efficiency.
Coordinate closely with Operations for onboarding and support, ensuring seamless
handover and issue resolution.
Desired Skills & Qualifications
Strong experience in API integration, data analysis, and documentation.
Familiarity with Jira for ticket management and project workflow.
Hands-on experience with machine learning model development and deployment.
Excellent communication skills for requirement gathering and stakeholder
engagement.
Experience with QA test processes and pilot rollouts.
Proficiency in project management, data workflow documentation, and system
monitoring.
Ability to manage multiple integrations simultaneously and work cross-functionally.
Required Qualifications
Experience: Minimum 4 years in hotel technology or business analytics, preferably
handling data integration or system interoperability projects.
Technical Skills:
Basic proficiency in SQL or database querying.
Familiarity with data integration concepts such as APIs or ETL workflows
(preferred but not mandatory).
Eagerness to learn and adapt to new tools, platforms, and technologies.
Hotel Technology Expertise: Understanding of systems such as PMS, CRS, Channel
Managers, or RMS.
Project Management: Strong organizational and multitasking abilities.
Problem Solving: Analytical thinker capable of troubleshooting and driving resolution.
Communication: Excellent written and verbal skills to bridge technical and non-
technical discussions.
Attention to Detail: Methodical approach to documentation, testing, and deployment.
Preferred Qualification
Exposure to debugging tools and troubleshooting methodologies.
Familiarity with cloud environments (AWS).
Understanding of data security and privacy considerations in the hospitality industry.
Shubham Vishwakarma
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About LodgIQ
About
Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the travel industry by incorporating machine learning and artificial intelligence to advance precise forecasting and optimized pricing. For more information, visit http://www.lodgiq.com" target="_blank">http://www.lodgiq.com
Backed by Highgate Ventures and Trilantic Capital Partners, LodgIQ is a well-funded young company, seeking a motivated and entrepreneurial Data Engineer to join its Data Science team in Silicon Valley. Qualified A+ candidates will be offered an excellent compensation and benefit package.
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Follow CutshortShubham Vishwakarma
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