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At Shift, we’re passionate about disruption, transformation and positive change. Our goal is to shift perceptions and expectations of what is possible. We’re here to help make business unstoppable. Enablers by nature, we love to solve problems and innovate. As part of the team, you’ll approach new challenges with a clean sheet of paper, reimagine possibilities and deliver results that are 10x better than before.
As one of Australia’s fastest-growing technology companies, Shift is changing the way businesses access finance. Enabled by streaming data, we provide credit and payments platforms that help businesses trade, pay and access funds, when they need it.
Winner of the IDC 2020 Digital Disruptor and Omni Experience Innovator awards for Australia and New Zealand, Shift has also been named to the Deloitte Fast50 list four years in a row, the Smart50 awards, the AFR Fast 100 List and voted by LinkedIn as one of the Top 25 Australian Start-ups to work.
We are looking for a Data Engineer to support a quickly growing analytics and strategy team. The role is data! With a focus on, but not be limited to, the development of data analytics solutions (e.g., warehousing and data streaming), assisting with of complex data tasks (e.g., training sets for ML and journey mapping), and management of our auto-decisioning logic (i.e., the magic that drives automation).
This role is highly dynamic, and like the company, is growing quickly. The perfect candidate will be excited to take on new challenges and be ok with stretching their skillsets and learning on the go!
How you will make a difference:
At Shift, we’re proud of our rich diversity and culture of inclusion. We have an amazing culture geared towards helping you make the most of your career. We love our fast-paced, energetic environment where no two days are alike. Our values firmly guide the exciting work we do, solving problems and always looking to deliver better outcomes. At Shift you won’t find politics or egos: just one team, with shared successes and shared learnings.
Shift offers competitive remuneration and the opportunity to make your mark in a fast-paced, energetic environment. Centrally located in North Sydney CBD, we’re close to transport, restaurants, cafes and shops. You’ll enjoy free breakfasts and healthy snacks, and a friendly social atmosphere. There are also plenty of staff-led social events, Leadership series, Lunch & Learns and other initiatives for you to participate and grow. And best of all, on your birthday, you get the day off!
Full Time
Specialty Trade in Construction
$94k-118k (estimate)
03/24/2023
06/05/2023
shift.com
SAN FRANCISCO, CA
50 - 100
2014
PAUL MCCONVILLE
$50M - $200M
Specialty Trade in Construction
Shift (NASDAQ: SFT) is a leading end-to-end auto ecommerce platform transforming the used car industry with a technology-driven, hassle-free customer experience. Shifts mission is to make car purchase and ownership simple to make buying or selling a used car fun, fair, and accessible to everyone. Shift provides comprehensive, digital solutions throughout the car ownership lifecycle: finding the right car, having a test drive brought to you before buying the car, a seamless digitally-driven purchase transaction including financing and vehicle protection products, an efficient, digital trade-in.../sale transaction, and a vision to provide high-value support services during car ownership.
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The job skills required for Data Engineer include SQL, Python, Data Engineering, Data Warehouse, Azure, Data Analytics, 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.
Quotes from people on Data Engineer job description and responsibilities
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.