Data Engineering Specialist for Microsoft Fabric
3 weeks ago
Compensation Package: Competitive hourly rate in the range of AU$100-$120 per hour.
About the RoleHudson is seeking a skilled Data Engineer to join their Data and Analytics unit, which plays a pivotal role in leading the work of data collection, data management, and data analysis within the organisation.
The ideal candidate will be responsible for managing and preparing data for usability, moving data from source systems into reportable data models, and overseeing the day-to-day management of data feeds, ingestions, pipelines, modelling of data.
Key Responsibilities:- Design and Implement Solutions: Design and implement data management and/or architecture solutions for Microsoft Fabric, ensuring seamless integration and optimal data flow.
- Data Loaders and Pipelines: Design, implement, and deploy data loaders to load data into Microsoft Fabric, ensuring timely and accurate data ingestion.
- Data Quality and Analysis: Manage model degradation, identify opportunities for improved data analysis, and ensure that data is accurately represented and easily accessible.
- Data Modelling and Warehousing: Focus on designing adaptable downstream reporting data sources and data models, ensuring data availability for stakeholders across the organisation.
- Data Preparation and Normalisation: Filter, tag, join, parse, and normalise data sets for use in analytics models, ensuring high-quality data inputs.
- Demonstrated technical data engineering skills and a methodical approach to engineering data from source to sink for the purpose of downstream reporting.
- Experience in integrating and modelling complex and diverse data sets for use by data analysts and business units.
- Strong understanding of data modelling and master data management principles and processes.
- Well-developed interpersonal skills with the ability to build and sustain positive relationships and consult, negotiate, liaise, and influence others.
Hudson offers a supportive and dynamic work environment, competitive compensation packages, and opportunities for professional growth and development. If you are passionate about data engineering and have a strong desire to drive business outcomes through data-driven insights, we encourage you to apply for this exciting opportunity.
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