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Data Engineer (Hybrid)

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Data Engineer (Hybrid)

  • Central Location, Orlando, Florida, United States, 32821
  • Data Analytics
  • Full Time
  • Travel + Leisure Co.

Put the World on Vacation

At Travel + Leisure Co. our mission is simple: to put the world on vacation. We turn vacation inspiration into exceptional travel experiences through nearly 20 of the world’s leading travel brands under Wyndham Destinations, Panorama, and Travel + Leisure Co. Together we’re shaping the future of the travel industry by creating new possibilities for vacationers. That’s part of what makes our work fun and interesting. Every day is a chance to learn something new and influence the global business. 

The Data Engineer will partner with a wide range of business teams to implement analytical and data solutions that drive business value and customer satisfaction. He or She will be responsible for collecting, storing, processing, analyzing large sets of data and building applications and solutions using data. The primary focus will be on building, maintaining, implementing, monitoring, supporting and integrating analytical and data solutions with the architecture used across the company.

Responsibilities include, but are not limited to:

  • Maintain and Monitor our analytics data warehouses and data platform
  • Build, Implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates
  • Responsible for hands-on development, deployment, maintenance and support of variety of Cloud and on premise Solutions, web service infrastructure and supporting technologies
  • Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks
  • Works closely with project managers, business analysts, data scientists and other groups in the organization to understand and translate functional requirements and processes into technical specifications
  • Develop, train, and mentor engineers: As a player coach, you will lead more junior engineers by both example and direct mentorship.
  • Design and build scalable infrastructure: You will collaborate with key stakeholders to make sure our data infrastructure meets our business needs in a scalable way.
  • Explore and troubleshoot technical gaps: You will keep a critical eye on our technical strategy, identify gaps, and come up with creative solutions.
  • Collaborate cross-functionally: You will be the representative of the Data team, and you will work cross-functionally across the org to achieve greater business objectives.

Minimum Requirements and Qualifications

Education

  • Bachelor’s degree in Computer and Information Science required
  • Master’s degree preferred.

Knowledge and skills

  • Excellent listening, interpersonal, communication (written & verbal) and problem solving skills.
  • Ability to collect and compile relevant data
  • Extremely organized with great attention to detail
  • Excellent ability to analyze information and think systematically
  • Strong business analysis skills
  • A strong team player with some ability to work independently
  • Good understanding of the company’s business processes and the industry at large

Technical Skills

  • Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing data pipelines and data sets leveraging various scripting languages or ETL tools.
  • Ability to performing root cause analysis on internal and external data processes to answer specific business questions and identify opportunities for improvement.
  • Good analytic skills related to working with unstructured datasets.
  • Ability to use APIs to push and pull data from various data systems and platforms.
  • Build processes supporting data extraction, transformation, and loading of data into data structures.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.

Job experience

  • 1-3 years of overall experience
  • 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala and AWS architecture.
  • 1+ years of proven experience in Microsoft .Net technologies such as C#, VB.Net and experience in designing, developing and deploying Windows & Web applications
  • 2+ years of experience in database development using PL/SQL and SQL Server 2012 or later and Snowflake
  • 1+ years of proven experience building data pipelines and ETL flows in Cloud and on premise environments using Snowpipe, Informatica, Airflow etc.

Experience equivalent to the education requirement may be accepted in lieu of the education requirement.

A Place for Everyone

Hospitality is at the heart of all we do at Travel + Leisure Co., including how we treat each member of our growing community. Here, you’ll find a team that’s inclusive, values diversity, and is built on a foundational respect for people from all over the world.

We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to mycareer@wyn.com, including the title and the location of the position for which you are applying.

Job Requisition: R-46312

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