Senior Data Analytics Engineer

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 Senior Data Analytics 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.

As a Senior Data Analytics Engineer, you will be part of the EDMA team responsible for all Data Transformation functions along with Data Pipelines and underlying Data Infrastructure powering it.

What You’ll Do...

• Understand the business requirements and build Data Transformation Pipelines in DBT/Snowflake/ Airflow to provide the data that fulfils it.
• Upgrade the existing legacy transformations pipelines to DBT through redesign and rebuilding exercise.
• Document, Design, Build, Test and Deploy the code through CI/CD mode of execution.
• Build the semantic layer on Snowflake for the metrics to be surfaced through Al or BI options.
• Contribute in building the modem Lake House Architecture that powers the future Data needs of enterprise
  
  

• Extensive experience as Data Engineer with end to end Data implementations executed.
• Solid experience in implementing Data Transformations using DBT on Snowflake/ Redshift. (Must have)
• Solid experience in implementing scalable Data Pipelines with Airflow (Must have)
• Experience in building configuration based metadata driven ingestion/ transformation frameworks.
• Must have strong technical ability to understand, design, build, test and debug complex code in Python, Spark and SQL. (Must have)
• Experience with CI/CD based development lifecycle using tools such as Git, Buildkite, Jenkins, Team city or others.
• Ability to work as an individual contributor with minimal support from other peers or leads. (Must have)
• Ability to communicate with business stakeholders and understand the requirements and build solutions to solve those business problems.
• Need Engineers who understand the business and then build solutions to solve business problems than just being pure Technical executors.
  
  

• Experience in implementing Data Lakehouse Architecture in Snowflake or AWS tech stack.
• Experience integrating data from Salesforce, Marketo, Intercom and Heap.
• Experience with native Snowflake platform features.
  
  

• 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