Data Engineer
3 days ago
Data Engineer
More About the Company:
An innovative company based in Faerie Glen, Pretoria, is looking for a skilled and motivated Data Engineer to join their growing team. This role offers the opportunity to work on large-scale data projects, build advanced data pipelines, and contribute to creating scalable data solutions that drive business success.
Location: Faerie Glen, Pretoria
Salary: R30 000 – R50 000
Start Date: As soon as possible
Working Hours: Monday – Friday, 08:00 – 17:00
Positions Available: 1
Create and maintain existing and new data pipelines that facilitate data flows from various sources to a central cloud-based data warehouse.
Implement scalable data architectures, optimize ETL processes, and ensure data quality and integrity.
Support cross-functional teams to identify and address data-related requirements.
Build complex algorithms to provide unique insights into data.
Model front-end and back-end data sources to create a comprehensive view of user flows throughout the system.
Build and maintain data pipelines that clean, transform, and aggregate data from multiple sources.
Develop predictive models and tools that support business decision-making.
Minimum Qualification: No formal qualification required (B.Sc. in IT is advantageous).
Experience: Minimum of 2 years in a data engineering role.
Skills: Python, PySpark, Microsoft Fabric, SQL Server, Azure.
Analytical thinker with problem-solving skills.
Detail-oriented with a focus on accuracy and efficiency.
Strong communication skills and ability to work in a collaborative environment.
Self-motivated and eager to learn new technologies.
Able to perform under pressure and meet deadlines.
Competitive salary and career growth opportunities.
Exposure to advanced data engineering tools and technologies.
A collaborative and innovative working environment.
Ready to shape the future of data engineering and drive innovation through technology?
Apply today and join our team
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Meer oor die Maatskappy:
'n Innoverende maatskappy in Faerie Glen, Pretoria, is op soek na 'n vaardige en gemotiveerde Data Inginieur om by hul groeiende span aan te sluit. Hierdie rol bied die geleentheid om aan grootskaalse data-projekte te werk, gevorderde datapyplyne te bou en by te dra tot die ontwikkeling van skaalbare datasolutions wat besigheidsukses dryf.
Ligging: Faerie Glen, Pretoria
Salaris: R30 000 – R50 000
Begin Datum: So gou moontlik
Werksure: Maandag – Vrydag, 08:00 – 17:00
Posisies Beskikbaar: 1
Sleutel Verantwoordelikhede:
Skep en onderhou nuwe en bestaande datapyplyne wat data van verskeie bronne na 'n sentrale wolk-gebaseerde data warehouse lei.
Implementeer skaalbare data-argitekture, optimaliseer ETL-prosesse en verseker dataduidlikheid en -integriteit.
Werk saam met kruisfunksionele spanne om data-vereistes te identifiseer en aan te spreek.
Bou komplekse algoritmes wat unieke insigte in data verskaf.
Modelleer front-end en back-end databronne om 'n omvattende prentjie van gebruikersvloei deur die stelsel te skep.
Bou en onderhou datapyplyne wat data skoonmaak, transformeer en saamvoeg uit veelvuldige bronne.
Ontwikkel voorspellende modelle en hulpmiddels wat besigheidsbesluite ondersteun.
Posvereistes:
Minimum Kwalifikasie: Geen formele kwalifikasie nodig nie (B.Sc. in IT is 'n voordeel).
Ervaring: Minimum van 2 jaar in 'n data engineering-rol.
Vaardighede: Python, PySpark, Microsoft Fabric, SQL Server, Azure.
Persoonlike Eienskappe:
Analitiese denker met probleemoplossingsvaardighede.
Detail-gedrewe met fokus op akkuraatheid en doeltreffendheid.
Sterk kommunikasievaardighede en die vermoë om in 'n span saam te werk.
Self-gemotiveerd en gretig om nuwe tegnologieë aan te leer.
Kan onder druk werk en sperdatums haal.
Wat Ons Bied:
Mededingende salaris en loopbaangroei-geleenthede.
Blootstelling aan gevorderde data engineering gereedskap en tegnologieë.
'n Samewerkende en innoverende werksomgewing.
Gereed om die toekoms van data engineering te vorm en innovasie deur tegnologie te dryf?
Dien vandag jou aansoek in en sluit aan by ons span in Faerie Glen
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