Experience Level: Experienced Hire
Categories:
- Engineering & Technology
Location(s):
- 7 World Trade Center, 250 Greenwich Street, New York, New York, 10007, US
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Job Title: Senior Data Engineer
Job Description: We are in search of a seasoned Data Engineer to lead the enhancement of our regulatory data submission process and play a key role in designing and building data marts and data warehouses in AWS. This role is central to our data operations, requiring the successful candidate to manage and rectify submission failures and implement changes in the data submission process as per evolving needs.
Recently, we have integrated new technology into our regulatory reporting environment. This incorporation has opened up opportunities for redefining our data processes. As a Senior Data Engineer, you will play a crucial role in shaping the future of our regulatory reporting processes.
The preferred candidate should be proactive and driven to excel, with a deep understanding of SQL (Sybase or Oracle).
Key Responsibilities:
Supervise the regulatory data submission process, ensuring data accuracy and timely delivery
Implement required changes to the regulatory data submission process
Contribute to the enhancement and evolution of our regulatory reporting technology
Play a pivotal role in decision-making for the future of our regulatory reporting
Essential Skills:
Experience in constructing data pipelines for a data warehouse and data mart in AWS
Deep understanding of AWS cloud technology, including data archiving and its data services such as Redshift, Glue, Kinesis, and S3
Expert in SQL and Advanced SQL(Sybase or Oracle)
Experience with ETL processes
Desirable Skills:
Basic knowledge of Python for AWS Lambda functions
Familiarity with AWS data visualization tools like Quicksight or third-party tools such as Tableau or Power BI
Familiarity with Alteryx
Familiarity with Tableau or Power BI
This role offers the unique opportunity to work in a dynamic, fast-paced environment and make a substantial contribution to the optimization of our regulatory reporting processes. We are looking for someone with a proven track record in data engineering who can drive our data operations to new heights.
For US-based roles only: the anticipated hiring base salary range for this position is [[127,500.00 - [[$184,950.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's.
Moody’s Corporation is a Government contractor subject to the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, as amended by the Jobs for Veterans Act of 2002, 38 U.S.C. 4212 (VEVRAA), which requires Government contractors to take affirmative action to employ and advance in employment: (1) disabled veterans; (2) recently separated veterans; (3) active duty wartime or campaign badge veterans; and (4) Armed Forces service medal veterans.
VEVRAA Federal Contractor
We Request Priority Protected Veteran and Disabled Referrals for all of our locations
Please contact Donna Hutchinson, Assistant Vice President, Talent Attraction for any questions regarding this listing.