Remote Senior Data Engineer Job in United States Moody's Corporation

Who you are

• Bachelor's degree or equivalent Master's is a plus or equivalent experience
• 3+ year of experience contributing to and providing technical leadership in a data engineering or software development team
• Hands on experience in design and development of data integration/ETL data pipelines from various data sources and data formats
• Knowledge of best practices for Airflow DAG management scheduling and monitoring
• Experience with implementing data quality checks error handling and retries in Airflow workflows
• Hands-on experience designing developing and maintaining data pipelines using Apache Airflow including creating custom operators sensors and plugins
• Familiarity with Airflow Executors for task parallelism and resource management
• Experience driving technical ideas and communicating clearly to both technical and non-technical audiences at all levels of the organization
• Strong development testing debugging skills at all levels unit system integration and performance testing along with detail-oriented documentation skills
• Effective communication and problem-solving skills
• Strong database engineering skills with emphasis Postgres SQL DynamoDB Snowflake

Desirables

• AWS RDS experience
• Data governance knowledge
• Object-oriented programming
• Experience with Git
• Experience with Jira
• AWS ECS Fargate knowledge
• Big data technology

What the job involves

• Design develop and maintain scalable data pipelines with Snowflake Apache Airflow dbt SQL and Python with AWS services
• Support and contribute to the continuous improvement tuning applications infrastructure developments process controls and upgrades of the data platform
• Provide guidance hands-on development and operational support for the deployment of database scripts and changes across multiple environments
• Collaborate with Moody's technical teams and business owners as needed during the design and implementation
• Manage individual time and tasks effectively
• Collaborate with cross-functional teams to understand data requirements and implement effective solutions