Data Engineer International Company

This company is the world’s leading digital corporate travel platform. We are a trusted business travel partner that delivers the best technology and data driven experiences to help customers all around the world drive success in their business through business travel. We're a phenomenal place for outstanding people who share our passion for tech and travel!

As a Data Engineer on the Data Platform team, you'll build durable data pipelines with the ability to scale elegantly for data volume growth. The code you write will enable our customers to get insights in a timely manner. You'll work on a variety of tools and systems, most of which are cloud-based applications or data-platform components (e.g., data pipelines, processing, visualization, reporting, etc.). In this role, you will be working in an Agile development methodology for faster, quick-wins with the quality of design, development and operating BI components you develop.

What you’ll do:

Design, architect, implement, and support key datasets that provide structured and timely access to impactful business information with the needs of the end customer always in view

Retrieve and analyze data using SQL and other technologies

Build ETLs/ELTs to take data from various operational systems and craft a unified dimensional or star schema data model for analytics and reporting

Develop and champion a deep understanding of vast data sources (existing in the cloud) and know exactly how, when, and which data to use to solve particular business problems

• Competitive salary
• Healthcare
• Remote (2 days)

• Proven experience and detailed knowledge of data warehouse technical architectures, ETL/ELT, reporting/analytical tools, and data security
• Proven experience with any scripting language (Python, Ruby, etc.)
• Experience leading data warehousing and analytics projects, including using AWS technologies such as Redshift, S3, EC2, and data pipelines
• 3+ years experience implementing production BI solutions
• Experience implementing and operating large scale analytical databases/platforms/data warehouses and performing ETL across multiple operating systems (Microsoft and Linux)
• Experience with Agile, DevOps, CICD frameworks
• Experience working with multi-terabyte data sets using relational databases (RDBMS)
• Exposure in at least one reporting tool like Tableau, Power BI, Sisense etc.
• Capable of investigating, familiarizing and mastering new data sets quickly
• Experience with Snowflake Computing, Kafka, or Kinesis is a huge plus