At SiteMinder we believe the individual contributions of our employees are what drive our success. That’s why we hire and encourage diverse teams that include and respect a variety of voices, identities, backgrounds, experiences and perspectives. Our diverse and inclusive culture enables our employees to bring their unique selves to work and be proud of doing so. It’s in our differences that we will keep revolutionising the way for our customers. We are better together!
What We Do…
We’re people who love technology but know that hoteliers just want things to be simple. So since 2006 we’ve been constantly innovating our world-leading hotel commerce platform to help accommodation owners find and book more guests online - quickly and simply.
We’ve helped everyone from boutique hotels to big chains, enabling travellers to book igloos, cabins, castles, holiday parks, campsites, pubs, resorts, Airbnbs, and everything in between.
And today, we’re the world’s leading open hotel commerce platform, supporting 47,000 hotels in 150 countries - with over 125 million reservations processed by SiteMinder’s technology every year.
About the Data Engineer role...
The Enterprise Data Management and Analytics (EDMA) team at SiteMinder is the central BI and Analytics team catering to all analytical needs across the company. This profile would play an important role as part of the core data engineering and Ops team which is part of the EDMA.
As a Data Engineer, you will be part of the core data engineering team responsible for the entire BI infrastructure
What you’ll do...
Build core data architecture components from scratch as part of enterprise data architecture enhancements
Analyze and optimize the existing Data architecture using best practices
Identify, analyze and integrate various data source systems being used across organization
Ensure existing data architecture works optimally and undertake regular maintenance tasks
What you have...
Vast experience in a Data Engineer role.
Should have experience in developing Enterprise data architecture using latest Big Data technologies preferably Open Source
Experienced in AWS services (S3, Glue, Lambda, SQS, SNS, Eventbridge, Athena, AppFlow, etc.) and familiarity with cloud-native architecture.
Should have experience of designing complex workflows on workflow management tools like Airflow, AWS Data pipeline, etc.
Strong experience in Terraform for infrastructure automation and cloud management.
Experience in building scalable ETL pipelines, transforming and integrating data from various sources like SaaS into centralized storage solutions with tools like FiveTran, AWS AppFlow, Xplenty and etc.
It would be great to have experience of developing customized integration layer in Python through REST and SOAP API’s architectures
Must have strong technical abilities to understand, design, write and debug complex code in Python, Spark and SQL is a must
Experience with DBT to manage data transformation workflows within the Data Lakehouse environment, ensuring streamlined data pipelines.
Experience with CI/CD tools like Buildkite and Jenkins.
Understanding of data modeling, data governance and security best practices in cloud environments.
Strong analytical and troubleshooting skills to identify bottlenecks, optimize data flows, and ensure system scalability and performance.
Implement MLOps solutions that deploy machine learning models into production efficiently. Oversee model versioning, monitoring and scaling in a production environment is a plus
Our Perks & Benefits…
- Mental health and well-being initiatives
- Generous parental (including secondary) leave policy
- Paid birthday, study and volunteering leave every year
- Sponsored social clubs, team events, and celebrations
- Employee Resource Groups (ERG) to help you connect and get involved
- Investment in your personal growth offering training for your advancement
Does this job sound like you? If yes, we'd love for you to be part of our team! Please send a copy of your resume and our Talent Acquisition team will be in touch.
When you apply, please tell us the pronouns you use and any adjustments you may need during the interview process. We encourage people from underrepresented groups to apply.
