Senior Data Engineer

Senior Data Engineer
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 Engineer, you will be part of the core team responsible for all the data modelling and analysis projects using SQL, Python and various AWS data stack tech catering to various BI and analytics projects. This is a very hands-on role that includes 70% allocation projects on Data Engineering and 30% on Data Ops.
Who we are:
Ever booked hotel accommodation on Booking.com, Expedia or TripAdvisor? Chances are, you’ve used SiteMinder. Our goal is to liberate hoteliers with technology that makes a world of difference, and we do that by helping them find and acquire guests online.
We are the world’s leading guest acquisition platform for hotels, supporting 35,000 hotels in 160 countries to generate more than 87 million reservations on our platform each year.
We’re not like other tech companies
It's rare that a global tech company is headquartered in Australia, not to mention one that’s backed by the same Silicon Valley investor as Facebook, Netflix and Expedia. How’s that for good company?
We pioneered a SaaS model for hotels in 2006, and 13 years on, competition is tough but we work hard to call ourselves the world’s leading guest acquisition platform for hotels. So far, we have 35,000 hotel customers in 160 countries, and we’re on a mission to make a world of difference to 60,000 hotels by 2022!

As the Senior Data Engineer, your primary responsibilities will include:

• Build optimised summary layers and perform in-depth data analysis catering to various BI and analytics projects
• Optimise the existing BI data pipeline by implementing best practices
• Build strong functional and business knowledge of various applications and business process systems like SiteMinder Apps, Salesforce, Zuora etc.   
• Cater to day to day Data Operations and ad-hoc data analysis requests
• Participate in various data deep-dive and data discovery projects to analyse various data sources and share the findings

The ideal candidate will possess:

• Will have 6+ years of experience in a data engineering or data ops role with strong skills in Cloud data engineering and analysis
• At least 3+ years of experience in cloud data engineering projects.
• Preferably have experience of solution development using Kinesis, Kafka or similar alternatives to handle streaming data sets in at least 1 project
• You should have very good hands-on experience of working within AWS data services such as Glue, EMR, Kinesis, Redshift, Athena, Aurora, etc.
• Experience designing and building complete ETL processes
• Familiarity with complex data lake environments that span OLTP, MPP and Hadoop platforms
• Experience of working in a start up environment is highly preferred.
• You must have strong technical abilities to understand, design, write and debug complex code in Python, Spark and SQL
• Have good knowledge of data warehousing concepts, Dimension and Fact tables
• Translate requirements from the business and analyst into technical code
• Utilise ad-hoc techniques to perform on-the-fly analysis of data
• Very good understanding of AWS data tech stack would be an added advantage

How to apply
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.
We encourage people from underrepresented groups to apply
Why join SiteMinder
At SiteMinder, you’ll do the best work of your career. We’re the trailblazers of our industry and our enemy is closed thinking, so you’ll have the chance to be creative and question the status quo. Every day, you’ll have new problems to solve - and meet new people to learn from. We continue to grow rapidly and we’re committed to supporting the learning you need as you grow with us.