Data Engineer/Remote- Contractor (26-00282) -
Suncap Technology · Remote
All reasons
- No location stated
In its favour
- Still listed on the employer's own board
Title
Data Engineer
Location
Remote (East Coast)
Contract Build the data foundations that turn complex information into meaningful business insights.
What We're Looking For
- SQL and data engineering expertise: Strong practical experience with SQL, dbt and modern ELT frameworks, including building, debugging and optimizing transformation pipelines.
- Data modelling capabilities: Solid understanding of dimensional modelling, fact and dimension structures, data relationships and designing analytics-ready datasets.
- Cloud data warehouse experience: Experience working with modern cloud data platforms, investigating unfamiliar datasets and implementing reliable data transformations.
- Power BI proficiency: Experience developing Power BI dashboards, semantic models, DAX measures and reporting solutions, with an understanding of performance optimization.
- Analytical problem-solving and delivery: Ability to investigate complex data issues, translate requirements into solutions and manage assigned deliverables independently while collaborating effectively with stakeholders.
What You'll Do
- Build and optimize data pipelines: Develop, maintain and enhance reliable data transformation workflows using dbt, SQL and modern ELT practices.
- Design scalable analytics models: Create reusable, well-structured datasets using dimensional modelling principles, including fact and dimension tables, to support enterprise reporting.
- Deliver impactful Power BI solutions: Develop and enhance dashboards, reports, semantic models and DAX measures, ensuring performance, usability and data accuracy.
- Ensure data quality and reliability: Investigate source data, troubleshoot pipeline issues, perform reconciliations and implement robust validation processes across the data lifecycle.
- Own end-to-end delivery: Translate business requirements into technical solutions, managing development, testing and implementation while collaborating with analytics, engineering and business teams.
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