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Technical Lead
2 weeks ago
Overview
Main Accountabilities- Migration:
Migrate credit risk data in collaboration with data stakeholders.
Design and implement data migration strategies to support reporting, analysis, and modeling. - Validation:
Ensure data integrity and accuracy through thorough validation and testing.
Develop and execute test plans for data quality assurance. - Automation:
Sustain an effective data infrastructure for reporting, analysis, and modeling.
Identify relevant data sources and automate data collection processes to support business needs. - Analysis:
Process both structured and unstructured data to meet analytical needs.
Utilize appropriate tools and technologies for data processing and analysis. - Health Checks:
Prepare and conduct data health checks to identify and address data quality issues.
Follow up on action items related to data quality improvements. - Initiatives:
Contribute to local and Group initiatives on data infrastructure and analytics.
Cross-functional teams to drive data-related projects.
The ideal candidate will possess a recognized degree in Business Computing or other related disciplines with strong quantitative content. A minimum of 3 years of working experience in Data Management and testing roles is required. The successful candidate will have knowledge and experience in the use of modern data science ecosystem, including SAS, Spark, Hadoop, Python, and Excel VBA. Strong communication and interpersonal skills, along with analytical and problem-solving skills, are essential. Ability to multi-task, work independently with minimal supervision, and take on new challenges in a fast-paced environment are also required. Banking domain knowledge is an added advantage.