Key Responsibilities:
- Develop and maintain data pipelines to enable efficient data processing and analysis.
- Refactor code to ensure optimal processing time and readiness for operationalization.
- Enhance data collection procedures to capture relevant information for analytics and machine learning systems.
- Process, cleanse, and verify the integrity of data used for analysis.
- Perform ad-hoc analysis and present insights in a clear and actionable manner.
- Support system integration and operationalization of data workflows.
- Conduct system testing to ensure smooth deployment and operation.
Requirements:
- Degree in Computer Science or any related discipline.
- At least 2 years of relevant experience as a data analyst preferably in financial sector.
- Proficiency in SQL, Python, and PySpark for data processing and analysis.
- Familiarity with enterprise data environments, including S3, metadata management, and cloud storage solutions.
- Excellent analytical and problem-solving skills.
- Ability to work independently and collaborate with cross-functional teams.
Interested candidates may send in their resume and cover letter directly to [email protected] (R1434374), stating the position as the subject title in the email.
Jireli Gem Mejia Cabria EA License No.: 02C3423 Personnel Registration No.: R1434374
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