11+ Amadeus Jobs in Hyderabad | Amadeus Job openings in Hyderabad

Job Description:

• Should have work experience in using GDS - Amadeus for Ticketing.
• Able to Issue, Reissue, Refund, Cancellation of tickets.
• Should have experience in communicating with Clients/Customers through Emails, Calls, and Chat.
• Should have Good Communication and Presentation skills.
• Should be able to improvise from time to time as per business requirements.

We have exciting Perks and Benefits which will be informed to the shortlisted candidate after the interview.

Position: Regional sales Manager – Laminates/Sunmica

Locations: Bangalore, Chennai, Ranchi, Kolkata, Rajasthan, Gujarat (Ahmedabad, Vadodara), Uttar Pradesh (Lucknow, Varanasi, Aligarh), Delhi, Jaipur

Experience: 8+ Years in Laminates/Sunmica Sales

Industry: Building Materials / Interior Products / Laminates & Decorative Surfaces

Key Responsibilities:

• Identify, develop, and manage new business opportunities in the Laminates/Sunmica market.
• Build and strengthen relationships with dealers, distributors across assigned territories.
• Plan and execute sales strategies to achieve monthly and quarterly targets.
• Conduct regular market visits in Gujarat, Rajasthan, Delhi, and UP to expand dealer/distributor network.
• Monitor competitor activities, pricing, and marketing strategies.
• Ensure effective order fulfillment, payment follow-up, and after-sales support.
• Collaborate with the marketing and product teams to align customer feedback with product offerings.

Key Requirements:

• Minimum 8 years of experience in business development/sales of laminates, sunmica.
• Proven success in managing territory sales and dealer/distributor development in the listed regions.
• Strong contacts and network in trade channels (distributors/retailers).
• Excellent communication, negotiation, and interpersonal skills.
• Willingness to travel extensively within the assigned states/cities.

Mail updated resume with current salary-

Email: etalenthire[at]gmail[dot]com

Satish: 88O 27 49 743

We are looking for a highly skilled Sr. Big Data Engineer with 3-5 years of experience in

building large-scale data pipelines, real-time streaming solutions, and batch/stream

processing systems. The ideal candidate should be proficient in Spark, Kafka, Python, and

AWS Big Data services, with hands-on experience in implementing CDC (Change Data

Capture) pipelines and integrating multiple data sources and sinks.

Responsibilities

• Design, develop, and optimize batch and streaming data pipelines using Apache Spark and Python.
• Build and maintain real-time data ingestion pipelines leveraging Kafka and AWS Kinesis.
• Implement CDC (Change Data Capture) pipelines using Kafka Connect, Debezium or similar frameworks.
• Integrate data from multiple sources and sinks (databases, APIs, message queues, file systems, cloud storage).
• Work with AWS Big Data ecosystem: Glue, EMR, Kinesis, Athena, S3, Lambda, Step Functions.
• Ensure pipeline scalability, reliability, and performance tuning of Spark jobs and EMR clusters.
• Develop data transformation and ETL workflows in AWS Glue and manage schema evolution.
• Collaborate with data scientists, analysts, and product teams to deliver reliable and high-quality data solutions.
• Implement monitoring, logging, and alerting for critical data pipelines.
• Follow best practices for data security, compliance, and cost optimization in cloud environments.

Required Skills & Experience

• Programming: Strong proficiency in Python (PySpark, data frameworks, automation).
• Big Data Processing: Hands-on experience with Apache Spark (batch & streaming).
• Messaging & Streaming: Proficient in Kafka (brokers, topics, partitions, consumer groups) and AWS Kinesis.
• CDC Pipelines: Experience with Debezium / Kafka Connect / custom CDC frameworks.
• AWS Services: AWS Glue, EMR, S3, Athena, Lambda, IAM, CloudWatch.
• ETL/ELT Workflows: Strong knowledge of data ingestion, transformation, partitioning, schema management.
• Databases: Experience with relational databases (MySQL, Postgres, Oracle) and NoSQL (MongoDB, DynamoDB, Cassandra).
• Data Formats: JSON, Parquet, Avro, ORC, Delta/Iceberg/Hudi.
• Version Control & CI/CD: Git, GitHub/GitLab, Jenkins, or CodePipeline.
• Monitoring/Logging: CloudWatch, Prometheus, ELK/Opensearch.
• Containers & Orchestration (nice-to-have): Docker, Kubernetes, Airflow/Step
• Functions for workflow orchestration.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• Experience in large-scale data lake / lake house architectures.
• Knowledge of data warehousing concepts and query optimisation.
• Familiarity with data governance, lineage, and cataloging tools (Glue Data Catalog, Apache Atlas).
• Exposure to ML/AI data pipelines is a plus.

Tools & Technologies (must-have exposure)

• Big Data & Processing: Apache Spark, PySpark, AWS EMR, AWS Glue
• Streaming & Messaging: Apache Kafka, Kafka Connect, Debezium, AWS Kinesis
• Cloud & Storage: AWS (S3, Athena, Lambda, IAM, CloudWatch)
• Programming & Scripting: Python, SQL, Bash
• Orchestration: Airflow / Step Functions
• Version Control & CI/CD: Git, Jenkins/CodePipeline
• Data Formats: Parquet, Avro, ORC, JSON, Delta, Iceberg, Hudi

Skills

Technology: node js, DynamoDB / Mongo DB

Roles:

• Design & implement Backend Services.
• Able to redesign the architecture.
• Designing & implementation of application in MVC & Microservice.
• 9+ years of experience developing service-based applications using Node.js.
• Expert-level skills in developing web applications using JavaScript, CSS and HTML5.
• Experience working on teams that practice BDD (Business Driven Development).
• Understanding of micro-service architecture and RESTful API integration patterns.
• Experience using Node.js for automation and leveraging NPM for package management
• Solid Object Oriented design experience, and creating and leveraging design patterns.
• Experience working in a DevOps/Continuous Delivery environment and associated toolsets (i.e. Jenkins, Puppet etc.)
  
  
  

Desired/Preferred Qualifications :

1. Bachelor's degree or equivalent experience
2. Strong problem solving and conceptual thinking abilities
3. Desire to work in a collaborative, fast-paced, start-up like environment
4. Experience leveraging node.js frameworks such as Express.
5. Experience with distributed source control management, i.e. Git

Responsibilities: 
 

• The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business. 
• The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure. 
• Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation. 

Required Skills: 
 

• An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems. 
• Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries 
• Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts 
• Experience in designing full stack ML solutions in a distributed computing environment 
• Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU
• Excellent communication skills with multiple levels of the organization 
• Image CNN, Image processing, MRCNN, FRCNN experience is a must.