Why This Role Stands Out
This hybrid Data Engineer role offers exciting opportunities to build and support scalable data pipelines within a reputable company, leveraging your Python, PySpark, and Azure expertise. You'll thrive here if you have a strong background in enterprise data engineering and a passion for cloud-based data platforms, making this a fantastic opportunity to grow your career. Don't miss out on applying to contribute to impactful data solutions!
Quick Overview
Job Description
We are looking for an experienced Data Engineer with strong hands-on experience in Python, PySpark, Azure Cloud services, and the ADAPT / EBIB platform.
The ideal candidate must have prior working experience with bank and a strong understanding of enterprise data engineering, data processing, and cloud-based data platforms.
The candidate will be responsible for developing and supporting scalable data pipelines, performing data transformation and integration, and working with Azure-based data services within the ADAPT / EBIB (Any one) platform environment.
Skills required- Python
- PySpark
- Microsoft Azure - Hands-on experience with Azure Cloud services
- ADAPT Platform - Practical experience working with the ADAPT data platform OR EBIB Platform - Practical experience working with the EBIB platform. - Any one platform experience required
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