middle data software engineer for a travel company

Design and implement large scale real-time & batch data pipelines on the AWS platform

Resolve problems and roadblocks as they occur and unblock team members. Follow through on details and drive issues to closure

Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team

Ensure robust testing and performance optimization

Bachelor’s or Master’s degree in Computer Science or Engineering or related field or equivalent related professional experience

2+ years developing data and software solutions including ETLs

2+ years of experience in data steaming including Kafka

2+ years of experience in building data pipelines in the cloud

Experience in Cloud computing platforms including AWS, EMR, or Kubernetes/Docker

Experience in Apache Spark, Apache Kafka, Splunk, DataDog, Jenkins

Experience in NoSQL and SQL Databases including MongoDB and MySQL

Experience with aggregation strategy and performance optimization

Experience building data pipelines incrementally and ensure test cases and logging are built for all scenarios

Experience in Java

Knowledge of Agile methodologies and tools including Jira, Trello, or Scrum practices

Experience in Spring Frameworks

Strong communication skills, experience communicating across various groups, and levels of leadership within a global organization

Enthusiastically seek out solutions for data engineering problems

Focused developer with a strong sense of ownership

Ability to drive individual tasks to completion and production deployment

Capable of working closely with team members to ensure data solutions are well built and of high quality