Data Engineer - 2 Job in Expedia Group

Brand Specific Description and Position Overview:

Expedia revolutionizes travel through the power of technology. Across the globe, our brands make travel easier for millions of people who want to step out of their homes and into the world. Were a talented and focused team from all over the world with 20,000 + employees, in over 30 countries. Together we seek new ideas, innovative ways of thinking, diverse backgrounds and approaches because averages can lie and sameness is dangerous.

The People Technology Team is looking for a Data Engineer to support our People data warehouse and data Lake powering people analytics, Machine learning, AI for Expedia Corporate and all the Expedia brands. Your main responsibility will be working with the team and our customers to define, design, and implement our next-generation data warehouse and Data Lake on AWS, in addition to maintaining and growing the existing People Data analytics Business need.

Competencies? and Experience:

• 3 6 + years of hands-on experience designing and operating large data platforms
• 2+ years leading data warehousing and analytics projects, including using AWS technologiesRedshift, S3, EC2, and other data technologies
• Expert in SQL and PL/SQL.
• 2+ years of experience with Java, Python, or similar programming languages.
• Experience in Cloud Data Technologies is a plus.
• Any exposure to Big Data is a plus.
• A better understanding of MS SQL Server.
• Experience in implementing SDLC methodologies and working in Agile SCRUM
• Background in business measurement, Human Resources, e-commerce, or a comparable reporting and analytics role.
• BS in Computer Science, Mathematics, Statistics, or related field
  

Qualification:

• BS/MS in Computer Science, Mathematics, Statistics, or related field

Responsibilities:

• You will build/extend toolsets, create/maintain batch jobs, and create systems documentation.
• You will work with Expedia Group Data Platform Team for our design and building HR Data lake on AWS using Cloud Data Technologies.
• You will optimize and automate ingestion and export processes for a variety of data sources, primarily Workday and other HR-related systems.
• You will drive data investigations across organizations inside and outside of HR to deliver a resolution of technical, procedural, and operational issues
• You will influence large scale projects to set the future direction for people data and analytics across Expedia.
  

WHY JOIN US:

Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.

Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground, so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.

If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.

Our family of travel brands includes Brand Expedia, Hotels.com, Expedia Partner Solutions, Egencia, trivago, HomeAway, Orbitz, Travelocity, Wotif, lastminute.com.au, ebookers, CheapTickets, Hotwire, Classic Vacations, Expedia Media Solutions, CarRentals.com, Expedia Local Expert, Expedia CruiseShipCenters, SilverRail Technologies, Inc., ALICE and Traveldoo.

Relocation (Y/N): N