Java Developer

Job Title: Spanish-Speaking Travel Executive

Location: Kolkata

Job Type: Full-time

Industry: Travel & Tourism

Job Description:

We are seeking a dynamic and customer-focused Spanish-Speaking Travel Executive to join our team. The ideal candidate will be responsible for managing travel arrangements for Spanish-speaking clients, ensuring excellent service and seamless experiences throughout their journey.

Key Responsibilities:

• Communicate fluently in Spanish and English with clients via phone, email, and chat.
• Plan, book, and coordinate domestic and international travel itineraries including flights, accommodations, tours, and transportation.
• Provide travel advice and recommendations based on client preferences and budgets.
• Handle customer inquiries, complaints, and last-minute changes with professionalism and efficiency.
• Maintain up-to-date knowledge of travel trends, visa regulations, and destination-specific requirements.
• Collaborate with internal teams and travel partners to ensure high-quality service delivery.
• Upsell travel packages and add-on services to enhance client experiences.

Requirements:

• Fluency in Spanish and English (spoken and written) is mandatory.
• Prior experience in the travel industry or customer service is preferred.
• Knowledge of GDS systems (e.g., Amadeus, Galileo, Sabre) is an advantage.
• Excellent communication, interpersonal, and problem-solving skills.
• Strong organizational skills and attention to detail.

Ability to work under pressure and handle multiple bookings at once.

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

As part of the Mobile SDK Engineering team at Flyy, here are some things you can expect:

• Take ownership and be responsible for what you build - no micromanagement
• Work with customer success team to enable Flyy customers to adopt Insights-led engagement in different industry sectors like e-Commerce, FinTech, OTT, Social, entertainment, travel, telco, food-tech etc.
• Explore the latest in topics like Mobile development, SDK, iOS, Android, tvOS various mobile hybrid frameworks and share with the team and more importantly, have fun while you work on scaling Flyy.

Skills Required :

• Minimum 2 years experience in Android
• Minimum 1 year of experience in Native Mobile Development
• Minimum 1 year of experience in React-Native/Flutter framework
• Should be thorough with different architectures used in Mobile Development
• In-depth knowledge and understanding of Android/iOS framework:
• Multithreading concepts
• Persistent data storage
• Rest APIs Implementation
• Should know the internals of the mobile build and distribution processes
• Ready to learn and develop in any cross-platform frameworks
• Should be able to capture bottlenecks and improve them without or little supervision
• Awareness of Secure Development process and practices
• Awareness on Information Security concepts and Best Practices

Good to Have:

• Knowledge of other cross-platform frameworks i.e., Cordova, Unity, etc
• Experience in working and shipping SDKs/plugins

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

• Ship high-quality, well-tested, secure, scalable, extensible, and maintainable code as well as perform code review.
• Lead a team of highly efficient developers working on agile development practices including sprint planning.
• Apply design principles and patterns in creating enterprise-level solutions, as needed.
• Design products, services, and systems that are resilient to the iteration and change required by the needs of the business.
• Research new technologies and development methodologies to drive efficiency and improve customer experience.
• Coordinated with the US-led product and sales team to strategize and carry out the development of custom features and functionality requests.

• 3+ years of experience as a Full stack developer.
• Extensive experience working with NodeJS platforms.
• Expertise in building robust REST and GraphQL APIs.
• Hands-on experience with frameworks like ExpressJS, NextJS, and Fastify.
• Hands-on experience with SQL/NoSQL databases like PostgreSQL, MySQL and Redis.
• Hands-on experience in working with React-related libraries like Redux,
• MaterialUI and frameworks like NextJS.
• Strong hands-on experience with source code management systems like git.
• Working knowledge of WebSocket technologies.

• We offer the best market salaries for ideal candidates.
• Our culture is focused on talent development with semi-annually promotion cycles and company-sponsored certifications.
• The opportunity to work with and lead cutting-edge technologies.
• Opportunity to earn company stock options.
• Mediclaim hospitalization insurance for self, spouse, two children, and parents.

• Generating business through direct marketing i.e email marketing , cold calling ,cargliest Linked-in , bidding portals & other Social platforms .
• Keeping bidding portal on secondary for generating leads & business
• Experience on linked-in sales navigator would be add on .
• Must have proficient communication & understand the ascent of UK/US and other countries clients .
• Able to work on targets
• Sound technical knowledge on the development of Web & Mobile application.
• Maintain business relationships with existing and potential clients.
• 1+ yrs sales experience in B2C Industry.
• Should have 1+ yrs experience in IT Sales.