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Senior Data Engineer

2 months ago

Lebanon, Pennsylvania, United States Moody's Analytics Full time
Job Summary

We are seeking a highly skilled Senior Data Engineer to join our team at Moody's Analytics. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data pipelines and architectures to support our business operations.

Key Responsibilities
  • Design and develop data integration and ETL pipelines using Apache Airflow, AWS, and other technologies.
  • Collaborate with cross-functional teams to identify business requirements and develop data solutions.
  • Develop and maintain data quality checks, error handling, and retries in Airflow workflows.
  • Work with Agile teams to drive technical ideas and communicate clearly to both technical and non-technical audiences.
  • Develop, test, and debug data pipelines using unit, system, integration, and performance testing.
  • Develop strong database engineering skills with emphasis on Postgres SQL, DynamoDB, and Snowflake.
Requirements
  • 3+ years 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 within all phases of software development working across Agile teams, product owners, and external stakeholders.
  • 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.
Preferred Qualifications
  • Hands-on experience implementing, managing, supporting, and developing with AWS database technologies, AWS RDS (Microsoft SQL Server, PostgreSQL) and AWS DynamoDB.
  • Strong understanding of data quality best practices and data governance principles.
  • Strong understanding of object-oriented programming, design, and architectural patterns.
  • Experience with development technologies: Git (Bitbucket or GitHub), Jira, Rally, Asana, Jenkins, Cypress, Postman.
  • Experience with AWS cloud technologies: ECS/Fargate, ECR (EC2 Container Registry), Lambda, DynamoDB, Aurora PostgreSQL, API (Application Programming Interface) Gateway, VPC (Virtual Private Cloud), ALB, NLB, Neptune.
  • Experience working with big data technologies: Apache Airflow, Apache Spark, Apache Kafka, AWS Kinesis, AWS Redshift.
  • Experience with development languages: Java (Spring Boot), Scala, PySpark.
What We Offer

Moody's Analytics offers a competitive benefits package, including 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 Analytics is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion.