Let's begin! Senior Software Engineer (Senior Data Engineer)
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity helping our clients navigate uncertainty with clarity speed and confidence.
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.
Skills and Competencies
- 59 years of professional experience as a Senior Data Engineer or Senior Database Engineer delivering large scale production grade data systems.
- Expert level SQL skills with strong proficiency in Python Java C# or Scala for building high performance backend and data solutions.
- Extensive experience with relational databases such as PostgreSQL SQL Server Oracle and Snowflake and NoSQL databases including MongoDB Cassandra or DynamoDB.
- Hands on experience designing and operating cloud based data platforms on Amazon Web Services (AWS) Microsoft Azure or Google Cloud Platform (GCP).
- Deep understanding of database architecture data modeling indexing partitioning and query optimization at scale.
- Ability to lead technical design discussions mentor engineers and drive best practices across data and software engineering teams.
- Experience with Docker and Kubernetes for deploying and managing scalable data services.
- Strong data modeling expertise including Star Schema Data Vault and dimensional modeling.
- Experience implementing CI/CD pipelines and infrastructure as code using Terraform or CloudFormation.
- Familiarity with data quality observability monitoring and lineage tools in production environments.
Education
- Bachelors / Masters degree in Computer Science Engineering Information Technology or relevant degree.
Responsibilities
- Lead the design and optimization of secure scalable databases and data pipelines powering analytics and mission critical applications.
- Architect design and maintain high performance SQL and NoSQL database schemas supporting analytics applications and data science workloads.
- Drive database performance optimization through advanced query tuning indexing strategies partitioning and configuration management.
- Build and scale robust ETL / ELT pipelines for ingesting transforming validating and serving large volumes of structured and unstructured data.
- Integrate internal and external systems using APIs and cloud data services across platforms such as Snowflake Redshift BigQuery PostgreSQL and SQL Server.
- Lead the implementation of data security governance and compliance controls including encryption identity and access management and adherence to GDPR and CCPA.
- Partner closely with software engineers data scientists product managers and stakeholders to deliver reliable business critical data solutions.
- Provide technical leadership through code reviews design guidance and mentoring of junior engineers.
- Proactively identify and resolve complex data and performance issues improving system reliability and scalability.
About the Team
Our engineering team is responsible for developing cutting-edge software sophisticated models and advanced analytics that power risk quantification for the global multi trillion-dollar P&C market. Our solutions enable organizations to better understand and manage the risks of natural and human-made catastrophes including hurricanes earthquakes floods wildfires terrorism cyber threats climate change and pandemics
Moodys 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.
Candidates for Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.
Required Experience:
Senior IC
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- AWS
- Data Structures
- Software Development
- Java
- Distributed Systems
About Company
Moody's CreditView is our flagship solution for global capital markets that incorporates credit ratings, research and data from Moody's Investors Service plus research, data and content from Moody's Analytics.
