Job description

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What You'll Do
  • Work with a team of skilled and experienced Big Data/Software engineers to design and code large scale real-time/batch data pipelines and tables
  • Build data pipelines using Python/Scala/Java
  • Implement all the necessary infrastructures which allow self-healing and observable monitoring of data ingestion, and consumption through Datadog.
  • Define, develop and maintain artefacts like technical design or user documentation and look for continuous improvement in software and development process within an agile mindset
  • In collaboration with other Data Engineering teams, validate and maintain data pipeline across our data ecosystem for the Product Effectiveness team
  • Background in monitoring / performing root cause analysis in data pipelines such as DBT, Streamset and Airflow
  • Mine data from multiple data sources in Hive, and others, with a special focus on data stored as JSON
  • Write and revise complex SQL queries or Python to acquire and analyze data and to tune queries
  • Wrangle and clean data via ETL processes as necessary to support data science and data analyst teams
  • Validate data quality and perform root cause analysis to remediate issues as needed
  • Implement testing and observability across the data infrastructure to ensure data quality from raw sources to downstream models.
  • Effectively comment and document developed code to empower peers and future colleagues to get maximum value from the data pipelines you develop
  • Scope and plan the work across multi-team efforts, working with key stakeholders to establish a plan for implementation and delivery
Who You Are

Degree in Computer science or related technical field or equivalent related professional experience

5+ years of meaningful work experience in Big Data /distributed computer projects

experience in crafting real-time streaming and batch applications-Good to Have

Extensive experience in programming in Scala/Java/Python (any)

Experience building data pipelines using cloud services (eg. - AWS)

Passionate about working with data and data technologies

About Expedia Group

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs .

Expedia iscommittedto creating an inclusive workenvironmentwith a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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