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Data Engineers

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

Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field., Certifications in Azure Data Services such as Microsoft Certified: Azure Data Engineer Associate., 3+ years of experience in data engineering focusing on Azure services., Proven expertise with Azure Data Lake and Azure Synapse Analytics..

Key responsabilities:

  • Design, construct, and optimize data lakes, CI/CD, and Synapse pipelines within Azure.
  • Lead data migration for critical change programs while ensuring integrity.
  • Mentor team members and drive adoption of new data engineering practices.
  • Monitor and improve data service performance and maintain documentation.
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

Overview

At the Clean Energy Regulator, youre signing up for a challenging and rewarding workplace. All our work is connected to measuring, managing, reducing or offsetting carbon emissions and increasing the use of clean energy in Australia.

Role Responsibilities and Duties:

  • Design, construct, and optimize data lakes, CI/CD, and Synapse pipelines within the Azure stack.
  • Develop scalable architecture practices for pipeline designs.
  • Lead data migration and integration for critical change programs.
  • Ensure data integrity and align engineering tasks with program objectives.
  • Mentor team members and drive new data engineering practices adoption.
  • Monitor and improve data service performance and costs.
  • Maintain documentation and adhere to data governance policies.
  • Research and innovate within the Azure data engineering field.

Qualifications/Experience:

  • Bachelors degree in computer science, Engineering, or a related field.
  • Certifications in Azure Data Services, such as the Microsoft Certified: Azure Data Engineer Associate.
  • 3+ years of experience in data engineering with a focus on Azure services.
  • Proven experience with Azure Data Lake, Azure Synapse Analytics, and CI/CD pipelines.
  • Demonstrated ability to design and implement scalable data architectures.
  • Experience in data migration and managing large-scale data pipelines.
  • Familiarity with DevOps practices and tools within the Azure ecosystem.
  • Strong technical skills in SQL, Python, and R
  • Proficiency in data modelling including reuse and scalability patterns
  • Knowledge of Azure Monitor, Azure Security, and compliance frameworks.
  • Ability to work with cross-functional teams and lead technical projects.
  • Experience building data profiling, data cleansing and data engineering frameworks.
  • Address Each Selection criteria to support your application(one page summary)

Address Each Selection criteria to support your application(one page summary)

Essential criteria

1. The extent to which the candidate has the required level of experience and qualifications to deliver against the role description.

Desirable criteria

  1. The extent to which the proposed fees represent value for money to the CER.

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

Data EngineeringAzure Synapse AnalyticsAzure Data LakePython (Programming Language)Data GovernanceData MigrationCross-Functional CollaborationSQL (Programming Language)Internal DocumentationDevOpsTechnical LeadershipCI/CDR (Programming Language)Azure MonitorAzure Data Explorer (Kusto)Data ProfilingCompliance ManagementData ModelingAzure SecurityData CleansingData Integration
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