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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 40,000 hotels in 150 countries - with over 100 million reservations processed by SiteMinder’s technology every year.
About the Data Engineer role...
A key addition to our engineering team to assist us with our transformation program. This is for an all-rounder Data Engineer who can be dynamic and play a role in different aspects of working with data, from ingestion, setting pipelines to a ML engineer who can work with models such as selecting the right model, picking features and tuning parameters.
You will be someone who knows what good looks like and has set up robust production data pipelines using Databricks and associated products.
\nWhat you have...
Our Perks & Benefits…
- Equity packages for you to be a part of the SiteMinder journey
- Hybrid working model (in-office & from home)
- 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.
#LI-Hybrid
Full Time
IT Outsourcing & Consulting
$108k-133k (estimate)
03/11/2024
04/17/2024
siteminder.com
DAWES POINT, NEW SOUTH WALES
500 - 1,000
2006
MICHAEL GREGORY FORD
$50M - $200M
IT Outsourcing & Consulting
The job skills required for Data Engineer include SQL, Python, AWS, Machine Learning, Data Modeling, Data Quality, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
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The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.