ATPCO
Transport
ATPCO is a leading provider in the airline industry, specializing in airline merchandising and pricing data. The company offers innovative solutions that enable modern retailing for airlines by creating, distributing, and settling offers efficiently. With a reputation as the primary source for airline data systems, ATPCO supports airlines in revenue management and strategy through tools like Pricing Architect and Express Contracts. They facilitate the consistent flow of data across the airline ecosystem with reliable APIs and NDC solutions. By leveraging data collaboration and technology, ATPCO helps airlines achieve their business goals through enhanced revenue management, order servicing, and merchandising services.
201 - 500 employees
🚗 Transport
Principal Data Engineer
Job not on LinkedIn
October 8
ATPCO
Transport
ATPCO is a leading provider in the airline industry, specializing in airline merchandising and pricing data. The company offers innovative solutions that enable modern retailing for airlines by creating, distributing, and settling offers efficiently. With a reputation as the primary source for airline data systems, ATPCO supports airlines in revenue management and strategy through tools like Pricing Architect and Express Contracts. They facilitate the consistent flow of data across the airline ecosystem with reliable APIs and NDC solutions. By leveraging data collaboration and technology, ATPCO helps airlines achieve their business goals through enhanced revenue management, order servicing, and merchandising services.
201 - 500 employees
🚗 Transport
📋 Description
• Build and optimize data pipelines, managing data storage and processing systems • Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders to understand data requirements and deliver efficient high-quality data solutions • Design modern schemas, data models, and pipelines that enable advanced analytics, machine learning, and real-time reporting • Implement and manage real-time data streaming architectures using AWS services • Ensure solutions facilitate secure data analysis and reporting • Perform data profiling, cleansing, and transformation tasks • Implement data security and privacy measures
🎯 Requirements
• Strong programming skills in languages like Python, Java, or Scala • Proven experience as a data engineer, with experience in designing and building large-scale data processing systems • Strong understanding of data modeling concepts and data management principles • In-depth knowledge of SQL and experience working with relational and non-relational databases • Knowledge of Data Mesh principles and experience designing and implementing data architectures following Data Mesh concepts within the AWS ecosystem • Experience with real-time data streaming architectures using AWS services like Amazon Kinesis or Apache Kafka • Familiarity with AWS cloud services, such as AWS Sagemaker Unified Studio, AWS Glue, AWS Lambda, AWS EMR, AWS S3, Amazon Redshift, and their data-related features and functionalities • Familiarity with AWS security services and features for data security and privacy • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
🏖️ Benefits
• Flexible work arrangements • Supportive policies for work-life balance • Professional development opportunities
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