Software Engineer II

Summary

Join Tripadvisor's Data Platform Engineering group as a Software Engineer and help design, build, and operate the data services infrastructure. Take responsibility for code quality and all aspects of software engineering, from design to maintenance. You will operate across a diverse technology stack (Java, Kotlin, React, SQL, Spark, Snowflake, etc.) and implement new features in an ETL orchestration tool. Collaborate with various teams to define specifications and develop high-quality deliverables. Work with technical leadership on strategic technology decisions and collaborate with global engineering teams. The role requires a strong history of development with Java or a JVM-based language and 3-4+ years of professional engineering experience.

Requirements

• 3-4 + years' experience as a professional engineer
• BS or MS in Computer Science or equivalent
• A strong history of development with Java or a JVM based language
• Proven record of successful software development

Responsibilities

• Take responsibility for the quality of the code produced
• Take responsibility for all aspects of software engineering, from design to implementation, QA, and maintenance
• Operate across our evolving technology stack - Java, Kotlin, React, SQL, Spark, Snowflake and more
• Implement new features in a powerful and widely used ETL orchestration tool
• Investigate and use Cloud Technologies to deploy our software
• Integrate with production Data Sources and our petabyte scale data lake
• Operate across our evolving technology stack - we’re developing in Java, Python, SQL and more
• Collaborate closely with Product, Data Engineering, Machine Learning, Analytics as well as other functional teams to define feature specifications and develop high-quality deliverables for our customers
• Work with technical leadership to make strategic technology decisions
• Work alongside other engineering groups located around the world (US, Lisbon, UK, India)

Preferred Qualifications

• Knowledge of the modern AWS Data Ecosystem, including AWS Glue, AWS Athena, AWS EKS, AWS S3, and AWS Lambda
• Experience developing ETL processes and streaming data pipelines; including defining SLAs and performance monitoring
• Experience with Python or Kotlin
• Experience with Spring Boot
• Experience developing for large-scale, full life-cycle, software applications
• Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult  problems
• Familiarity with big data modeling and tools (Spark, Snowflake, Big Query, Presto,etc)