Job Description

• Monitor and manage daily operations of the data pipelines from data acquisition to data distribution. Effectively troubleshoot and fix technical issues and data issues encountered to meet delivery deadline.
• Improve and refine the data pipeline for better automation and accuracy.
• Conduct testing and deployment of the pipeline for system upgrade and platform migration.
• Solve data issues and fulfill data requests raised by internal and external clients on timely manner.
• Work side-by-side with Data Quality Analyst for data correction request, data quality process deployment, and data issue troubleshooting.
• Coordinate closely with SDE, DevOps, Product, Client Support and Research teams on back-end data pipeline project for new product release, enhancement, and new model development.
• Create and update data operations documentation.
• Minimum Education Requirements: Bachelor\xe2\x80\x99s Degree in Science, Engineering, Computer Science or related fields with good passion to data content. Or Financial Engineering, Operational Research related fields with coding and troubleshooting skills. 1~2 year of relevant working experience with progressive responsibility is a good plus.
• Must have experience with database management tools such as Postgres, SQL server and etc.
• Must have hands-on experience of advance SQL skills.
• Must have exposure to at least one programming language, e.g. Python, Java, C++ and etc. Hands-on experience of coding tasks is preferred.
• Experience of data pipeline and ETL tools is preferred, such as CloverDX Designer, MS SSIS, Airflow and etc.
• Exposure to Cloud Service (e.g. AWS, MS Azure, Google Cloud) is preferred.
• Experience of batch scripts, shell scripts, HTML, XML is preferred.
• Have minimum data mining skills.
• Have minimum understanding of or exposure to financial market and financial data, risk measurement. Knowledge of Economics and Finance or relevant data is preferred.
• Strong communication skills in both speaking and writing.
• Reliable team player to share and support.
• Detail oriented.
• Flexible in working schedule.

Predictive Analytics OU (EAAS OU)
Moody\xe2\x80\x99s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Moody\xe2\x80\x99s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don\xe2\x80\x99t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.

Moody\'s is a global integrated risk assessment firm that empowers organizations to make better decisions.

At Moody\xe2\x80\x99s, we\xe2\x80\x99re taking action. We\xe2\x80\x99re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We\xe2\x80\x99re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity