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Travel + Leisure Co. seeks to transform vacation inspiration into tangible, memorable experiences by operating a diverse portfolio of leisure travel products and services, aiming t
Data Engineer
Location
United States
Posted
52 days ago
Salary
0
Seniority
Senior
Job Description
Data Engineer
Travel + Leisure Co.
• Partner with business teams to implement analytical and data solutions that drive business value and customer satisfaction • 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 and pipelines • Integrate new sources of data into the central data warehouse • Move data out to applications and affiliates • Hands-on development, deployment, maintenance, and support of a variety of Cloud and on-premise Solutions • Work 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 • Collaborate with key stakeholders to ensure data infrastructure meets business needs in a scalable way • Keep a critical eye on technical strategy, identify gaps, and develop creative solutions
Job 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) 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
- Good working SQL knowledge and experience working with relational databases
- Experience building and optimizing data pipelines and data sets leveraging various scripting languages or ETL tools
- Ability to perform 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 build and 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
- 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 and experience in designing, developing and deploying Windows & Web applications
- 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 using Snowpipe, Informatica, Airflow, Kafka etc.
Benefits
- Medical
- Dental
- Vision
- Flexible spending accounts
- Life and accident coverage
- Disability
- Depending on position, paid time off, parental leave and 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
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