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Data Engineer

Remote: 
Full Remote
Contract: 
Freelance
Experience: 
Mid-level (2-5 years)
Work from: 
Australia

Offer summary

Qualifications:

Experience in cloud computing engines, Knowledge of Azure Data Factory, Experience with Spark and Graph Databases, Familiarity with Data Lake concepts.

Key responsabilities:

  • Prepare data for optimal query performance
  • Collaborate with Engineering, Storage, and Analytics teams
  • Attend office three days per week
  • Participate in Agile ceremonies and events
Softtest Pays logo
Softtest Pays Human Resources, Staffing & Recruiting SME https://softtestpays.com/
11 - 50 Employees
About Softtest Pays
Softtestpays is a leading technology and digital talent specialist, with a genuine dedication to candidate, contractor and client service. With operations spanning Australia, we connect thousands of talented people with great jobs every year, providing rewarding opportunities in the best organisations. We partner with our clients across Australia to co-design creative and agile sourcing strategies, to attract skilled talent locally, Candidates come to us because they know we will do everything we can to help them land their dream job – and our contractors are loyal because their dedicated Contractor Care Consultant makes doing business easy. We pride ourselves on operating with the highest ethical standards, and advocate diversity in the workplace. We are proud to be a member of Australian Computer Society – an association dedicated to maintaining an industry-specific ethical code of conduct. We also support Females in IT and Telecommunications, the Australian Network on Disability, and the Project Management Institute. Softtestpays is a Digital talent provider in Australian Digital Industry from 2009 serving Federal, state and private vendors workforce solutions company. Softtestpays become DISP supplier in 2021
See more Softtest Pays offers

Job description

Australian Citizens residing in Australia only respond.

Must be able to obtain Baseline

Essential criteria

1. Most of the section is located at Agriculture House in the Canberra CBD. Our standard expectation is for staff to attend the office three (3) working days each week. The section is supportive of flexible arrangements and consideration will be made for individual and collaboration needs, including attendance at important Agile ceremonies and other team / section events.

2. Experience preparing data optimised for query performance in cloud computed engines. E.g. Distributed computing engines (Spark) Graph Databases Azure SQL

3. Experience working with Engineering, Storage and Analytics services in cloud infrastructure.

Desirable criteria

1. Experience working with Azure Data Factory and Databricks.

2. Experience/Knowledge of working with Data Lake and Lakehouses.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

StoragesEngineering SupportData PreprocessingDatabricksDistributed ComputingAzure Data FactoryAgile MethodologySQL AzureGraph DatabaseData LakesCloud ComputingAnalytics
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