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About the Role
In this role, you will work closely with the ANJ Analytics Team in ANZ to build and deliver data solutions for analytical purposes. You will work alongside other onshore and offshore data engineers, and other data practitioners to design data models and pipelines for analytics solutions. The role will also influence how we leverage data in the organisation, and identify opportunities to transform the business through the application of software engineering principles to data. We are going through an exciting technology transformation and redefining our tools and ways of working which we'd love you to help shape.
Key Responsibilities:
About You
Benefits Program
#LI-DNI
Location(s)FreshwaterKraft Heinz is an Equal Opportunity Employer - Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.
It is the continuing policy of The Kraft Heinz Company to afford full equal employment opportunity to qualified employees and applicants, regardless of their race, color, religion, sex, national origin, age, physical or mental handicaps, military or veteran status, sexual preference, or any other protected condition or characteristic in conformity with all applicable federal, state, provincial and local laws and regulations.Full Time
$103k-127k (estimate)
03/29/2024
04/12/2024
The job skills required for Data Engineer include SQL, Python, Data Warehouse, Agile, Data Analytics, Software Engineering, 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.
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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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