Database Developer - Mid-Level
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Job description
Our client, a leading organization in the financial services industry, is seeking a Data Engineer to join their dynamic team. As a Data Engineer, you will be an integral part of the Intelligent Planning and Analytics department supporting data development initiatives. The ideal candidate will demonstrate strong technical skills, collaborative spirit, problem-solving abilities, and a passion for innovative data solutions, which will align successfully within the organization., * Design and develop scalable data marts and pipelines in Google Cloud Platform to support Answer Engine Optimization (AEO) initiatives.
- Create automated data ingestion processes from third-party APIs, ensuring robust authentication, error handling, and logging.
- Develop complex SQL queries to transform, validate, and integrate data from multiple sources for reporting and AI applications.
- Partner with internal technology teams to prepare data pipelines and products for production deployment.
- Document data architecture, workflows, and business rules to ensure maintainability and knowledge sharing across teams., * Opportunity to work on innovative data projects supporting AI-enabled analytics.
- Collaborative environment with cross-functional teams and technology partners.
- Chance to develop and enhance your skills in cloud data platforms and modern data engineering tools.
- Engagement in a project with potential for extension beyond the initial contract period.
- Supportive work environment that values diversity, inclusion, and professional growth.
Requirements
- Professional experience in data engineering, analytics engineering, or related technical fields.
- Advanced SQL skills with the ability to write complex queries from scratch.
- Proficiency in Python for API integration, data extraction, and automation tasks.
- Hands-on experience designing and building data pipelines and analytical data models.
- Experience working with Google Cloud Platform and cloud-based data services.
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