Data Engineer

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Travel + Leisure Co.

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

👥 B2C

B2C • Hospitality

Travel + Leisure Co. is the world’s leading vacation ownership and travel membership company with a dynamic and growing portfolio of resort, travel club, and lifestyle travel brands. The company provides various benefits including wellness, travel discounts, and career development opportunities. It operates globally, focusing on resort operations, corporate sales and marketing, and offers comprehensive benefits to its employees.

📋 Description

• Partner with a wide range of business teams to implement analytical and data solutions • Responsible for collecting, storing, processing, analyzing, and modeling large sets of data • Build applications and solutions using data • Maintain and monitor analytics data warehouses and data platform • Design, implement, test, deploy and maintain stable, secure, and scalable data engineering solutions • Produce scalable, replicable code and engineering solutions to automate repetitive data management tasks • Collaborate with project managers, business analysts, data scientists, and other groups to understand and translate functional requirements into technical specifications • Keep a critical eye on technical strategy, identify gaps, and come up with creative solutions

🎯 Requirements

• Bachelor’s degree in computer and information science required • Master’s degree preferred • Snowflake and Python certification preferred but not required • Excellent listening, interpersonal, communication (written & verbal) 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 • Good working SQL knowledge and experience working with relational databases • Experience building and optimizing data pipelines and data sets • Ability to perform root cause analysis on internal and external data processes • Good analytic skills related to working with unstructured datasets • Ability to build and use APIs to push and pull data from various data systems • A successful history of manipulating, processing and extracting value from large, disconnected datasets • Ability to build data models and manage data warehouses • 3 years of related data engineering/IT experience • 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python and AWS architecture • 1+ years of proven experience in Microsoft .Net technologies such as C#, VB.Net • 2+ years of experience in data modeling/database development using PL/SQL and SQL Server 2016 or later and Snowflake • 1+ years of proven experience building data pipelines and ETL flows in Cloud and on-premise environments

🏖️ Benefits

• Medical • Dental • Vision • Flexible spending accounts • Life and accident coverage • Disability • Paid time off • Parental leave • Holidays • Wish day paid time to volunteer at an approved organization of your choice • 401k with employer match • Legal and identify theft plan • Voluntary income protection benefits • Wellness program • Employee Assistance Program