Let's begin! Software Engineer (Data Engineer)
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Job Location:
Monthly Salary:
Posted on:
2 days ago
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
- 35 years of hands-on experience as a Software Engineer Data Engineer or Database Engineer building and supporting production-grade data systems.
- Expert SQL skills with strong proficiency in Python Java C# or Scala required to design and optimize high performance backend and data solutions.
- Solid experience with relational databases including PostgreSQL SQL Server Oracle and Snowflake and NoSQL databases such as MongoDB Cassandra or DynamoDB.
- Hands-on experience working with cloud data services on Amazon Web Services (AWS) Microsoft Azure or Google Cloud Platform (GCP).
- Strong understanding of database design data modeling indexing partitioning and query optimization techniques.
- Ability to work independently while collaborating effectively with cross functional engineering analytics and product teams.
- Experience with Docker and Kubernetes for containerized data platforms.
- Knowledge of data modeling methodologies such as Star Schema and Data Vault.
- Exposure to CI/CD pipelines and infrastructure as code using Terraform or CloudFormation.
- Familiarity with data quality monitoring and observability tools.
Education
- Bachelors / Masters degree in Computer Science Engineering Information Technology or relevant stream.
Responsibilities
- Design build and optimize secure high performance databases and data pipelines supporting analytics applications and risk platforms.
- Design and develop high performance SQL and NoSQL database schemas supporting analytics backend applications and data science workloads.
- Optimize database performance through query tuning indexing strategies partitioning and configuration improvements.
- Build and maintain scalable ETL / ELT pipelines to ingest transform and validate structured and unstructured data.
- Integrate internal and external systems using APIs and cloud data platforms such as Snowflake Redshift BigQuery PostgreSQL and SQL Server.
- Implement data security and governance best practices including encryption identity and access management and compliance with GDPR and CCPA.
- Collaborate with software engineers data scientists and product teams to deliver reliable production ready data solutions.
- Troubleshoot and resolve data and performance issues contributing to system reliability and continuous improvement.
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:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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.
