Data Engineer II
India - Gurgaon
Expedia Group
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Are you a data engineer who would like to join a high profile team doing outstanding things with data? We are looking for an upbeat, collaborative, and creative individual who is excited about the opportunity to build data products for the worlds largest travel company!
As a key member of the Analytics, Products & Visualisation Engineering team, the Data Engineer II will play a pivotal role in supporting our key partners, ensuring they are able to effectively and quickly turn data into insights, driving business decisions and strategy. You will join a globally distributed team of engineers and visualisation experts to build industry leading datasets and visualisations products.
What you will do:
Develop data products that improve the insight and analytical capabilities of the group
Create optimised data pipelines that feed into our wider teams visualisation products
Develop our insights platform by building new features and integrating with other tools/systems
Collaborate with other teams developing lasting solutions and improvements to drive efficiency
Develop, test, own and deliver Sprint tasks and help drive the team forward
Identify risks, and issues & drive them to mitigation/resolution as required in the scope of your work
Prototype ideas, execute and learn from them and enrich the overall team experience
Apply software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, maintainable, modular with good naming conventions
Who you are:
An experienced data engineer with an interest in analysis and storytelling with data
You bring strong skills in SQL, Python, Spark or PySpark, Airflow and are comfortable optimizing queries for performance
You are experienced in building and maintaining sophisticated ETL pipeline/data products in production environments (bug fixing, troubleshooting, monitoring, etc.)
You are knowledgeable about data modeling, data access, and data storage technique
You can test, debug, and fix issues within established SLAs
Willingness to learn and come up with creative solutions
Excellent interpersonal skills and ability to work with all levels of management, across different organisations
Attention to detail and a commitment to data integrity
You are familiar with data visualization concepts as well as some experience in tools like Tableau
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™.
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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 is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Computer Science Data pipelines Data visualization Engineering ETL Pipelines PySpark Python Spark SQL Tableau
Perks/benefits: Career development Startup environment
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