SEO Expert

The role involves managing end-to-end air contracting, pricing, and operational execution for MICE (Meetings, Incentives, Conferences, and Exhibitions) travel. The candidate will be responsible for airline negotiations, group fare management, and seamless delivery of group travel requirements.

Preferred Qualifications:

Graduate/Postgraduate in Travel, Tourism, or Business Management

5–10 years of experience in MICE / Group Air Operations

Experience in OTA, TMC, or airline contracting roles

Key Responsibilities:

1. Air Contracting & Negotiation

Develop and maintain strong relationships with airlines for MICE/group travel.

Negotiate competitive group fares, series fares, and ad-hoc deals.

Secure allotments, blocked space, and special discounts for large groups.

Manage seasonal contracts and promotional tie-ups with airlines.

2. Pricing & Revenue Optimization:

Design competitive pricing strategies for MICE groups.

Coordinate with internal sales teams to provide best-in-market quotations.

Analyze market trends, competitor pricing, and demand patterns.

Maximize margins while ensuring conversion of group queries.

3. Operations & Execution:

Handle end-to-end MICE air operations (booking to departure).

Coordinate group PNR creation, ticketing, name updates, and schedule changes.

Ensure timely issuance of tickets and compliance with airline deadlines.

Manage last-minute changes, cancellations, and disruptions.

4. Stakeholder Coordination:

Work closely with Sales, Product, Finance, and Tech teams.

Liaise with airline account managers and GDS/API partners.

Coordinate with corporate clients and event planners.

5. Process & System Management:

Ensure proper use of GDS systems (Amadeus/Galileo/Sabre).

Work on API integrations for airline group bookings (if applicable).

Maintain accurate MIS reports, booking trackers, and reconciliation.

6. Customer Experience :

Ensure smooth travel experience for large groups.

Provide proactive communication on schedule changes or disruptions.

Handle escalations efficiently with quick resolution.

Key Skills & Competencies:

Strong airline contracting and negotiation skills

In-depth knowledge of MICE travel operations

Expertise in GDS systems (Amadeus, Galileo, Sabre)

Excellent coordination and stakeholder management

Analytical mindset for pricing and revenue optimization

Ability to handle high-pressure, time-sensitive operations

Additional Advantage:

Existing airline relationships

Experience in international group movement and exposure to API-based airline integrations.

Role: React UI Lead

Exp: 8+ Years

CTC: up to 30 LPA

Mode of Interview: 2 rounds onsite + 2 online

Required Skills and Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). 
• Proven experience (>8 years) as a UI developer with expertise in HTML5, CSS3, JavaScript/TypeScript 
• Proven experience in front-end frameworks React (must), Angular(good to have), Vue.js(good to have). 
• Solid understanding of responsive web design, accessibility, and cross-browser compatibility. 
• Experience leading a team of UI developers in an agile environment. 
• Strong problem-solving skills and ability to troubleshoot complex issues. 
• Excellent communication skills with the ability to collaborate effectively with cross-functional teams. 
• Experience with version control systems (e.g., Git) and CI/CD pipelines. 
• Experience with UI testing frameworks and tools (e.g., Jest, Cypress) is a plus. 
• Knowledge of UX design principles and familiarity with UX design tools (e.g., Sketch, Adobe XD) is desirable. 
• Ability to prioritize and manage multiple tasks in a fast-paced environment. 
• Experience building a UI for multi-tenant SaaS platform. 

About Hudson Data

At Hudson Data, we view AI as both an art and a science. Our cross-functional teams — spanning business leaders, data scientists, and engineers — blend AI/ML and Big Data technologies to solve real-world business challenges. We harness predictive analytics to uncover new revenue opportunities, optimize operational efficiency, and enable data-driven transformation for our clients.

Beyond traditional AI/ML consulting, we actively collaborate with academic and industry partners to stay at the forefront of innovation. Alongside delivering projects for Fortune 500 clients, we also develop proprietary AI/ML products addressing diverse industry challenges.

Headquartered in New Delhi, India, with an office in New York, USA, Hudson Data operates globally, driving excellence in data science, analytics, and artificial intelligence.

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About the Role

We are seeking a Data Analyst & Modeling Specialist with a passion for leveraging AI, machine learning, and cloud analytics to improve business processes, enhance decision-making, and drive innovation. You’ll play a key role in transforming raw data into insights, building predictive models, and delivering data-driven strategies that have real business impact.

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Key Responsibilities

1.⁠ ⁠Data Collection & Management

• Gather and integrate data from multiple sources including databases, APIs, spreadsheets, and cloud warehouses.

• Design and maintain ETL pipelines ensuring data accuracy, scalability, and availability.

• Utilize any major cloud platform (Google Cloud, AWS, or Azure) for data storage, processing, and analytics workflows.

• Collaborate with engineering teams to define data governance, lineage, and security standards.

2.⁠ ⁠Data Cleaning & Preprocessing

• Clean, transform, and organize large datasets using Python (pandas, NumPy) and SQL.

• Handle missing data, duplicates, and outliers while ensuring consistency and quality.

• Automate data preparation using Linux scripting, Airflow, or cloud-native schedulers.

3.⁠ ⁠Data Analysis & Insights

• Perform exploratory data analysis (EDA) to identify key trends, correlations, and drivers.

• Apply statistical techniques such as regression, time-series analysis, and hypothesis testing.

• Use Excel (including pivot tables) and BI tools (Tableau, Power BI, Looker, or Google Data Studio) to develop insightful reports and dashboards.

• Present findings and recommendations to cross-functional stakeholders in a clear and actionable manner.

4.⁠ ⁠Predictive Modeling & Machine Learning

• Build and optimize predictive and classification models using scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and H2O.ai.

• Perform feature engineering, model tuning, and cross-validation for performance optimization.

• Deploy and manage ML models using Vertex AI (GCP), AWS SageMaker, or Azure ML Studio.

• Continuously monitor, evaluate, and retrain models to ensure business relevance.

5.⁠ ⁠Reporting & Visualization

• Develop interactive dashboards and automated reports for performance tracking.

• Use pivot tables, KPIs, and data visualizations to simplify complex analytical findings.

• Communicate insights effectively through clear data storytelling.

6.⁠ ⁠Collaboration & Communication

• Partner with business, engineering, and product teams to define analytical goals and success metrics.

• Translate complex data and model results into actionable insights for decision-makers.

• Advocate for data-driven culture and support data literacy across teams.

7.⁠ ⁠Continuous Improvement & Innovation

• Stay current with emerging trends in AI, ML, data visualization, and cloud technologies.

• Identify opportunities for process optimization, automation, and innovation.

• Contribute to internal R&D and AI product development initiatives.

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Required Skills & Qualifications

Technical Skills

• Programming: Proficient in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, H2O.ai).

• Databases & Querying: Advanced SQL skills; experience with BigQuery, Redshift, or Azure Synapse is a plus.

• Cloud Expertise: Hands-on experience with one or more major platforms — Google Cloud, AWS, or Azure.

• Visualization & Reporting: Skilled in Tableau, Power BI, Looker, or Excel (pivot tables, data modeling).

• Data Engineering: Familiarity with ETL tools (Airflow, dbt, or similar).

• Operating Systems: Strong proficiency with Linux/Unix for scripting and automation.

Soft Skills

• Strong analytical, problem-solving, and critical-thinking abilities.

• Excellent communication and presentation skills, including data storytelling.

• Curiosity and creativity in exploring and interpreting data.

• Collaborative mindset, capable of working in cross-functional and fast-paced environments.

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Education & Certifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• Master’s degree in Data Analytics, Machine Learning, or Business Intelligence preferred.

• Relevant certifications are highly valued:

• Google Cloud Professional Data Engineer

• AWS Certified Data Analytics – Specialty

• Microsoft Certified: Azure Data Scientist Associate

• TensorFlow Developer Certificate

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Why Join Hudson Data

At Hudson Data, you’ll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools — from AI and ML frameworks to cloud-based analytics platforms — to solve meaningful problems. You’ll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.

Penetration Testing Expert Requirements and Qualification:

Previous working experience as a Penetration Testing Expert for 5 - 7 year

BE in Computer Information Systems, Management Information Systems, or similar relevant field

In-depth knowledge of application development processes and at least one programing or scripting language (e.g., Java, Scala, C#, Ruby, Perl, Python, PowerShell)

Must know about standard Industry security Practices (OWASP, SANS, etc), Knowledgeable about industry Security guidelines and compliance such as ISO27001, SOC2, HIPPA etc.

Hands on experience with testing frameworks such as the PTES and OWASP.

Applicable knowledge of Windows client/server, Unix/Linux systems, Mac OS X, VMware/Xen, and cloud technologies such as AWS, Azure, or Google Cloud

Critical thinker and problem solver

Excellent organizational and time management skills

Penetration Tester Role:

The Penetration Tester, will provide broad and in depth knowledge to conduct offensive cyber operations across the organization globally. In this role, you will conduct offensive security operations to emulate adversary tactics and procedures to test preventative, detective and response controls across the global technology landscape. You will use your expertise to help influence technology decisions and work as part of a team to create consistent approaches to the offensive security processes and techniques.

Penetration Testing Duties and Responsibilities:

Operate a hands-on role involving penetration testing and vulnerability assessment activities of complex applications, operating systems, wired, wireless networks, and mobile applications/devices, Cloud (Azure, AWS, Google Etc) apps and software’s.

Set up environment and maintain required tools needed for the team.

Lead and manage Penetration Testing team and Supporting vendors to get qualitative deliveries to our customer.

Develop and maintain security testing plans

Able to automate penetration and other security testing on networks, systems and applications.

Develop meaningful metrics to reflect the true posture of the environment allowing the organization to make educated decisions based on risk.

Produce actionable, threat-based, reports on security testing results

Act as a source of direction, training, and guidance for less experienced staff

Consult with application developers, systems administrators, and management to demonstrate security testing results, explain the threat presented by the results, and consult on remediation

Communicate security issues to a wide variety of internal and external “customers” to include technical teams, executives, risk groups, vendors and regulators

Deliver the annual penetration testing schedule and conducting awareness campaigns to ensure proper budgeting by business lines for annual tests.

Foster and maintain relationships with key stakeholders and business partners

Certificates:

Must Have

Offensive Security Certified Professional (OSCP)

Good to have

CREST Registered Penetration Tester (CRT)

Certified Ethical Hacker (CEH) Certification

GIAC Certified Penetration Tester (GPEN)

Senior Data Engineer

Location: Bangalore, Gurugram (Hybrid)

Experience: 4-8 Years

Type: Full Time | Permanent

Job Summary:

We are looking for a results-driven Senior Data Engineer to join our engineering team. The ideal candidate will have hands-on expertise in data pipeline development, cloud infrastructure, and BI support, with a strong command of modern data stacks. You’ll be responsible for building scalable ETL/ELT workflows, managing data lakes and marts, and enabling seamless data delivery to analytics and business intelligence teams.

This role requires deep technical know-how in PostgreSQL, Python scripting, Apache Airflow, AWS or other cloud environments, and a working knowledge of modern data and BI tools.

Key Responsibilities:

PostgreSQL & Data Modeling

· Design and optimize complex SQL queries, stored procedures, and indexes

· Perform performance tuning and query plan analysis

· Contribute to schema design and data normalization

Data Migration & Transformation

· Migrate data from multiple sources to cloud or ODS platforms

· Design schema mapping and implement transformation logic

· Ensure consistency, integrity, and accuracy in migrated data

Python Scripting for Data Engineering

· Build automation scripts for data ingestion, cleansing, and transformation

· Handle file formats (JSON, CSV, XML), REST APIs, cloud SDKs (e.g., Boto3)

· Maintain reusable script modules for operational pipelines

Data Orchestration with Apache Airflow

· Develop and manage DAGs for batch/stream workflows

· Implement retries, task dependencies, notifications, and failure handling

· Integrate Airflow with cloud services, data lakes, and data warehouses

Cloud Platforms (AWS / Azure / GCP)

· Manage data storage (S3, GCS, Blob), compute services, and data pipelines

· Set up permissions, IAM roles, encryption, and logging for security

· Monitor and optimize cost and performance of cloud-based data operations

Data Marts & Analytics Layer

· Design and manage data marts using dimensional models

· Build star/snowflake schemas to support BI and self-serve analytics

· Enable incremental load strategies and partitioning

Modern Data Stack Integration

· Work with tools like DBT, Fivetran, Redshift, Snowflake, BigQuery, or Kafka

· Support modular pipeline design and metadata-driven frameworks

· Ensure high availability and scalability of the stack

BI & Reporting Tools (Power BI / Superset / Supertech)

· Collaborate with BI teams to design datasets and optimize queries

· Support development of dashboards and reporting layers

· Manage access, data refreshes, and performance for BI tools

Required Skills & Qualifications:

· 4–6 years of hands-on experience in data engineering roles

· Strong SQL skills in PostgreSQL (tuning, complex joins, procedures)

· Advanced Python scripting skills for automation and ETL

· Proven experience with Apache Airflow (custom DAGs, error handling)

· Solid understanding of cloud architecture (especially AWS)

· Experience with data marts and dimensional data modeling

· Exposure to modern data stack tools (DBT, Kafka, Snowflake, etc.)

· Familiarity with BI tools like Power BI, Apache Superset, or Supertech BI

· Version control (Git) and CI/CD pipeline knowledge is a plus

· Excellent problem-solving and communication skills

We are looking to fill the role of AWS devops engineer . To join our growing team, please review the list of responsibilities and qualifications.

Responsibilities:

• Engineer solutions using AWS services (Cloud Formation, EC2, Lambda, Route 53, ECS, EFS )
• Balance hardware, network, and software layers to arrive at a scalable and maintainable solution that meets requirements for uptime, performance, and functionality
• Monitor server applications and use tools and log files to troubleshoot and resolve problems
• Maintain 99.99% availability of the web and integration services
• Anticipate, identify, mitigate, and resolve issues relating to client facing infrastructure
• Monitor, analyse, and predict trends for system performance, capacity, efficiency, and reliability and recommend enhancements in order to better meet client SLAs and standards
• Research and recommend innovative and automated approaches for system administration and DevOps tasks
• Deploy and decommission client environments for multi and single tenant hosted applications following and updating as needed established processes and procedures
• Follow and develop CPA change control processes for modifications to systems and associated components

Practice configuration management, including maintenance of component inventory and related documentation per company policies and procedures.

Qualifications :

• Git/GitHub version control tools
• Linux and/or Windows Virtualisation (VMWare, Xen, KVM, Virtual Box )
• Cloud computing (AWS, Google App Engine, Rackspace Cloud)
• Application Servers, servlet containers and web servers (WebSphere, Tomcat)
• Bachelors / Masters Degree - 2+ years experience in software development
• Must have experience with AWS VPC networking and security

Brief description of the role

We are seeking a Full Stack (.NET) developer responsible for building .NET applications using C# and SQL Server. Your primary responsibility will be to design and develop these layers of our applications, and to coordinate with the rest of the team working on different layers of the infrastructure. A commitment to collaborative problem solving, sophisticated design, and quality product is essential.

Job Responsibilities

• Translate PRD and its use cases into functional applications
• Design, build, and maintain efficient, reusable, and reliable code
• Integrate data storage solutions like SQL server
• Ensure the best possible performance, quality, and responsiveness of applications
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues
• Help maintain code quality, organization, and automatization

Skills

• Strong knowledge of .NET/.NET Core web framework
• Proficient in C# and SQL Server , with a good knowledge of their ecosystems
• Strong understanding of object-oriented programming
• Skill for writing reusable libraries
• Familiar with various design and architectural patterns
• Knowledge of concurrency patterns
• Experience with popular web application frameworks
• Knack for writing clean, readable, and easily maintainable code
• Understanding of fundamental design principles for building a scalable application
• Experience creating database schemas that represent and support business processes
• Basic understanding of Common Language Runtime (CLR), its limitations, weaknesses, and workarounds
• Experience implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools such as Git, SVN, and Mercurial.

What we expect

• B.Tech from a Tier 1 Institute
• At least 1 year of development experience, Full-Stack development experience  will be preferred