Senior Data Engineer

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Lead Consultant - People Connect - Technology Hiring Specialist I Niche Roles I Candidate Experience I Technology Hiring I Head Hunter I Specialized…

The role will be responsible for design, development and unit testing activities across several data movement, data transformation, and data visualisation processes within DAFF. The data movement and transformation processes focus on the preparation of data for use in decision making processes across the department, utilising modern cloud technology (Azure) to enable operational analytics use cases.

To be successful in the role, you must have a strong work ethic including taking ownership, providing leadership, having a high level of productivity, and working with a multi-disciplinary team in an Agile development environment. You must have suitable qualifications or training in data engineering techniques and at least 5 years' experience working as a data engineer.

Candidates must hold a valid Baseline security clearance or be willing and eligible to obtain one. Please provide your CSID on your resumé/CV

Key duties and responsibilities

Responsibilities include, but not limited to:

• Designing, building and testing various Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes on the department's Azure data and analytics platform.
• Designing, building and testing data storage solutions to meet current and emerging needs.
• Utilising expert level knowledge of best practices to uplift capability maturity and governance practices.
• Be responsive, flexible, and work collaboratively as part of an agile team.
• Creating and maintaining frameworks and strategies.
• Sharing outcomes, knowledge and experience with other data engineers in the section.
• Acting as technical escalation point.
• Providing technical support in the development of deliverables.
• Assisting project teams achieve objectives that align with departmental, divisional, and sectional priorities.
• Strong relationship building, communication and negotiation skills.
• Strong written and oral communication skills.
• Training and mentoring junior data engineers through regular quality reviews and constructive feedback on industry best practices.

Criteria

The Candidate has specified that each candidate must respond to each criterion. Each response is limited to 3000 characters.

1. Demonstrated experience developing ETL/ELT processes for complex and/or large data movement, transformation and/or visualisations, particularly in a cloud environment.

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.

1. Experience working with Azure Data Factory and Databricks.

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

Note:

If you would be interested to apply, kindly share your updated CV anu.r@peopleconnect.net.au

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeContract

Job function

• Job functionInformation Technology, Engineering, and Consulting
• IndustriesInformation Services, Technology, Information and Media, and IT Services and IT Consulting

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