Overview
Join Moody's Corporation as a Senior Data Engineer, where you'll be at the forefront of managing and transforming data into actionable insights. This role is pivotal in enhancing our digital insights platform, focusing on data quality and efficient data handling using modern technologies.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Snowflake, Apache Airflow, dbt (SQL), and Python with AWS services.
- Provide guidance and hands-on development for deploying database scripts and changes across environments.
- Collaborate with technical teams and business owners during the design and implementation phases.
- Manage individual tasks effectively and contribute to team goals.
Requirements
- Bachelor's degree in a relevant field; Master's preferred.
- 3+ years of experience in data engineering or a related field.
- Proficiency in Airflow DAG management, scheduling, and monitoring.
- Strong skills in database engineering with a focus on Postgres SQL and Snowflake.
Additional Qualifications
- Experience with AWS database technologies and big data technologies like Apache Spark and Kafka.
- Familiarity with object-oriented programming and architectural patterns.
Benefits
- Competitive salary and incentive compensation.
- Comprehensive benefits package including medical, dental, vision, and more.
- 401(k) plan with employee and company contributions.
- Opportunities for professional growth and development.
This role is a fantastic opportunity to contribute to a leading company in the financial services industry, leveraging your skills to impact our technology and business strategies. If you're ready to take on this challenge and make a significant impact, apply today!
Benefits Extracted with AI
- 401(k)
- Disability insurance
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