Data Engineer

2 weeks ago


Blackburn, Victoria, Australia The Salvation Army Full time

Number of Positions Available:

1

Start your career with The Salvation Army today

We are looking for compassionate people who share our mission and values, if you have the passion and drive to commit yourself to a challenging and rewarding role; we invite you to review our current vacancies.

ABOUT US

The Salvation Army is a Christian movement and one of Australia's largest and most-loved charities, helping thousands of Australians every year find hope in the midst of all kinds of personal hardship. The Salvation Army offers the opportunity to use your professional skills and expertise to make a real difference in the lives of people who need help most.

About the Role

We are seeking a Data Engineer, for a Max-Term- 2 year – Full Time opportunity in THQ Blackburn, VIC.

The Data Engineering role will play a pivotal part of the design, development, and maintenance of data solutions on Microsoft Azure Data Platform. You will work closely with senior data engineers and other cross-functional teams to implement robust and scalable data pipelines, databases, and data integration processes.

This role presents an excellent opportunity for a passionate individual who wants to build a career in data engineering, gaining hands-on experience with cutting-edge Azure technologies.

Key Responsibilities:

You will be successful in this role if you can:

Work with business stakeholders, project managers, and IT to translate requirements into technical builds and deliver data marts to Business Intelligence leads (inside and outside the DMO)

Undertake all aspects of solution building including:

  • Acquiring data from source,
  • landing data in the data lake,
  • Testing and validating data with data users and business stakeholders
  • Progressing data through multiple layers of the data warehouse, finally arriving in end-point Data Marts.

Work with the project's Business Intelligence Analyst to ensure all data needed for Power BI Dashboards, or secondary users are available and in the right format.

Data Pipeline Development: Collaborate with senior data engineers to design, implement, and optimize data pipelines for ingesting, processing, and transforming data from various sources into Azure data services.

Data Integration: Assist in integrating data from different platforms and sources into the Azure environment, ensuring data quality, consistency, and security.

Database Management: Contribute to the setup and management of Azure SQL databases, Azure Cosmos DB, and other data storage solutions to facilitate data access and analysis.

Data Transformation: Support the development of ETL/ELT processes to transform raw data into a usable format, adhering to best practices for performance and maintainability.

Monitoring and Troubleshooting: Assist in monitoring data pipelines and databases, identifying and resolving performance bottlenecks, data quality issues, and other technical challenges.

Data Security and Compliance: Adhere to data security and compliance best practices, ensuring data privacy, encryption, and access controls are appropriately implemented.

Documentation: Maintain documentation for data engineering processes, solutions, and best practices to facilitate knowledge sharing and team collaboration.

Learning and Development: Stay up-to-date with the latest trends and advancements in Azure Data Platform and data engineering practices to continuously enhance skills and knowledge.

Qualifications and Experience:

Qualifications:

  • Any relevant Microsoft Azure certifications, such as Azure Data Engineer Associate.
  • Bachelor's degree in IT or related fields

Experiences:

  • Basic understanding of data engineering concepts and prior exposure to Azure data services like Azure Data Factory, Azure SQL Database, Azure Cosmos DB, and Azure Databricks is advantageous.
  • Familiar with data modelling methodologies including STAR and Snowflake
  • Programming Skills: Proficiency in one or more programming languages like Python, Java, or SQL is essential.
  • Analytical Mindset: Strong problem-solving and analytical skills, with the ability to work with large datasets and identify data-related issues.
  • Team Player: Excellent communication skills and a collaborative approach to work, as you'll be working closely with senior data engineers and other team members.

Requirements of the Role:

  • A national police record check is required.

Why work for us

In return we offer our eligible employees real and meaningful benefits such as:

  • Positively supporting and impacting the lives of others through your career contribution
  • An inclusive culture of dedicated, passionate and professional team members
  • NFP salary packaging ($15,900 tax free) plus meals and entertainment benefits
  • Flexible working conditions
  • Paid parental leave
  • Financial, retail and lifestyle discounts and benefits
  • Employee Assistance Program - Independent confidential counselling service
  • Opportunity for career development

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