1. Building transformation logic from tables ingested from source system 2. Deliver a reporting layer(data marts) that users can directly consume. 3. Provide support and troubleshoot issues related to the data pipeline. 4. Analyze business requirements, document processes, and develop specifications 5. Collaborate with cross-functional teams to ensure seamless integration and implementation of solutions
Requirements
1. Bachelor’s or advanced degree in Computer Science, Statistics, Applied 2. Mathematics, or a related quantitative field. 3. Proficient in Python (PySpark, Pandas), SQL, Amazon S3, Git. 4. Excellent communication and interpersonal skills to effectively collaborate with 5. stakeholders at all levels 6. Ability to work independently and as part of a team
Job Requirements and Skills• Bachelor's degree in a relevant field such as data science, business analytics, or information systems.• Proven experience in data analysis and business intelligence, with a strong understanding of data quality principles and practices.• Familiarity with financial services industry and regulatory requirements is highly preferred.• Proficient in using data quality tools, specifically with hands-on experience in data profiling, issue detection, analysis, and cleansing using a DQS.• Strong proficiency in SQL for data querying, validation rule creation, and data manipulation.• Experience with other data analysis tools and programming languages such as Python and Tableau is a plus.• Strong problem-solving and critical thinking skills, with the ability to translate complex data quality issues into actionable insights and solutions.• Excellent communication and presentation skills, with the ability to effectively convey technical data quality information to both technical and non-technic
應徵方式
連絡人:HR
備註事項:• Excellent communication and presentation skills, with the ability to effectively convey technical data quality information to both technical and non-technical stakeholders. • Ability to work collaboratively in a team environment and coordinate with various departments for data issue resolution.