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Job Description: Business Analyst – Data Integrations
Location: Bangalore / Hybrid / Remote
Company: LodgIQ
Industry: Hospitality / SaaS / Machine Learning
About LodgIQ
Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the
travel industry. By leveraging machine learning and artificial intelligence, we enable precise
forecasting and optimized pricing for hotel revenue management. Backed by Highgate
Ventures and Trilantic Capital Partners, LodgIQ is a well-funded, high-growth startup with a
global presence.
About the Role
We’re looking for a skilled Business Analyst – Data Integrations who can bridge the gap
between business operations and technology teams, ensuring smooth, efficient, and scalable
integrations. If you’re passionate about hospitality tech and enjoy solving complex data
challenges, we’d love to hear from you!
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.
Why LodgIQ?
Join a fast-growing, mission-driven company transforming the future of hospitality.
Work on intellectually challenging problems at the intersection of machine learning,
decision science, and human behavior.
Be part of a high-impact, collaborative team with the autonomy to drive initiatives from
ideation to production.
Competitive salary and performance bonuses.
For more information, visit https://www.lodgiq.com
Java Developer – Job Description Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. Required Skills: • Exp. - 4 to 7 years. • Experience in Core Java and Spring Boot. • Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns. • Should have the ability to analyze, design, develop and test complex, low-latency client facing applications. • Good development experience with RDBMS. • Good knowledge of multi-threading and high-performance server-side development. • Basic working knowledge of Unix/Linux. • Excellent problem solving and coding skills. • Strong interpersonal, communication and analytical skills. • Should have the ability to express their design ideas and thoughts. About Wissen Technology: Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.
2. Spring boot/ Spring or any variations of Spring
3. MySQL
4. Mentions of, distributed systems, scalable systems
5. Mentions of ElasticSearch, Kafka or Redis
6. NoSQL databases like Cassandra/DynamoDB/MongoDB/Hbase etc
7. Mentions of Handling scale/scalable systems
9. Mentions of AWS or Amazon web services.
Creating and managing the sales funnel
Creating top level sales funnel/leads
Meeting monthly targets
Skills and Requirements:
2+ experience in a sales role.
B.tech/MBS degree.
Detailed understanding of the principles of sales
Strong communication skills
Proven track record in achieving sales quotas
Open to traveling.
Must have attributes:
Extreme sense of ownership
Bias for action
Ability to change the preempt and iterate the course of action to achieve targets
- Experienced in defining & realizing end-to-end Technical Architecture for large scale enterprise systems. Ability to identify and define non-functional requirements and design systems to meet the same.
- Strong experience in OOAD and in applying Design patterns effectively
- At least 5 years of hands-on experience in Java/ JEE technologies like Struts/JSF, Spring, EJB, JMS Experience only on front-end technologies like Struts, JSP, Servlets, HTML will not be sufficient.
- Experience in performance testing and optimization of JEE systems on any of the following application servers - WebLogic, WebSphere and JBoss. Deep expertise in any one of the application servers is a must
- Strong experience in at least one RDBMS (Oracle, MS-SQL, MySQL).
- Experience in creating and reviewing technical documents like Architecture blueprint, Design specifications, Deployment architecture, Workload modelling etc
- Excellent understanding of software development methodologies and architectures
- Experience in either of these areas is a definite add-on - Infrastructure sizing, Capacity planning, Performance modelling, Cloud Computing
- Working experience on Linux/Unix based OS systems is a must
- Working experience on any one of these open source technologies (LAMP stack, Node.js framework, ELK, Cassandra, MongoDB, Couch base NO-SQL databases).
About us
SteelEye is the only regulatory compliance technology and data analytics firm that offers transaction reporting, record keeping, trade reconstruction, best execution and data insight in one comprehensive solution. The firm’s scalable secure data storage platform offers encryption at rest and in flight and best-in-class analytics to help financial firms meet regulatory obligations and gain competitive advantage.
The company has a highly experienced management team and a strong board, who have decades of technology and management experience and worked in senior positions at many leading international financial businesses. We are a young company that shares a commitment to learning, being smart, working hard and being honest in all we do and striving to do that better each day. We value all our colleagues equally and everyone should feel able to speak up, propose an idea, point out a mistake and feel safe, happy and be themselves at work.
Being part of a start-up can be equally exciting as it is challenging. You will be part of the SteelEye team not just because of your talent but also because of your entrepreneurial flare which we thrive on at SteelEye. This means we want you to be curious, contribute, ask questions and share ideas. We encourage you to get involved in helping shape our business. What you'll do
What you will do?
- Deliver plugins for our python based ETL pipelines.
- Deliver python services for provisioning and managing cloud infrastructure.
- Design, Develop, Unit Test, and Support code in production.
- Deal with challenges associated with large volumes of data.
- Manage expectations with internal stakeholders and context switch between multiple deliverables as priorities change.
- Thrive in an environment that uses AWS and Elasticsearch extensively.
- Keep abreast of technology and contribute to the evolution of the product.
- Champion best practices and provide mentorship.
What we're looking for
- Python 3.
- Python libraries used for data (such as pandas, numpy).
- AWS.
- Elasticsearch.
- Performance tuning.
- Object Oriented Design and Modelling.
- Delivering complex software, ideally in a FinTech setting.
- CI/CD tools.
- Knowledge of design patterns.
- Sharp analytical and problem-solving skills.
- Strong sense of ownership.
- Demonstrable desire to learn and grow.
- Excellent written and oral communication skills.
- Mature collaboration and mentoring abilities.
What will you get?
- This is an individual contributor role. So, if you are someone who loves to code and solve complex problems and build amazing products and not worry about anything else, this is the role for you.
- You will have the chance to learn from the best in the business who have worked across the world and are technology geeks.
- Company that always appreciates ownership and initiative. If you are someone who is full of ideas, this role is for you.
We are looking for a highly skilled computer programmer who is comfortable with both front and back-end programming.
Full-stack developers are responsible for developing and designing front-end web architecture, ensuring the responsiveness of applications, and working alongside graphic designers for web design features, among other duties.
Full-stack developers will be required to see out a project from conception to the final product, requiring good organizational skills and attention to detail.
Full Stack Developer Responsibilities:
Developing front end website architecture.
Designing user interactions on web pages.
Developing back-end website applications.
Creating servers and databases for functionality.
Ensuring cross-platform optimization for mobile phones.
Ensuring responsiveness of applications.
Working alongside graphic designers for web design features.
Seeing through a project from conception to finished product.
Designing and developing APIs.
Meeting both technical and consumer needs.
Staying abreast of developments in web applications and programming languages.
Full Stack Developer Requirements:
Degree in computer science.
Strong organizational and project management skills.
Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
Familiarity with JavaScript frameworks React.js and/or VueJS.
Proficiency with server-side languages such as Python, Ruby, Java, PHP, and .Net.
Familiarity with database technology such as MySQL, Oracle, and MongoDB.
Excellent verbal communication skills.
Good problem-solving skills.
Attention to detail.
Benefits:
5 working days
Flexible timings
Work from home available on request
Very friendly office culture
About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.





