MOODY’S Looking for Senior Software Engineering – AWS Data Engineer at   Bangalore, Gurgaon Full Time

Data Engineer will help with the modernization and transformation of the data ecosystem within Moody’s Investor Services (MIS). This person will build and maintain data pipelines across multiple initiatives across various business areas and drive the build out modern cloud-based data engineering practices.

Key responsibilities for this role include the following:

Develop, build data engineering pipelines using Scala/PySpark in AWS using services like EKS, Lambda, S3, Glue, Step Functions Build ingestion as a service using the AWS Native and PySpark to facilitate the data gravity shift from on-premises to the cloud through migration of data assets and workloads to the cloud Build components in the data engineering following Test Data Driven development practices Setup CICD for all data engineering workload using AWS CodePipeline. Work closely with business and technology colleagues to create platforms built using modern, consumer focused technologies SQL skills for data profiling and analysis, and ability to reverse engineer existing databases with minimal assistance Support data requests/projects and helps to interpret data sets Perform ad-hoc data/process analysis as needed Participate in Agile scrum teams and contribute to project planning and work prioritization.

Job Knowledge and Responsibilities:

• Develop, build data engineering pipelines using Scala/PySpark in AWS using services like EKS, Lambda, S3, Glue, Step Functions
• Build ingestion as a service using the AWS Native and PySpark to facilitate the data gravity shift from on-premises to the cloud through migration of data assets and workloads to the cloud
• Build components in the data engineering following Test Data Driven development practices
• Setup CICD for all data engineering workload using AWS Cloud formation templates and Jenkins process.
• Work closely with business and technology colleagues to create platforms built using modern, consumer focused technologies
• SQL skills for data profiling and analysis, and ability to reverse engineer existing databases with minimal assistance
• Support data requests/projects and helps to interpret data sets
• Perform ad-hoc data/process analysis as needed
• Participate in Agile scrum teams and contribute to project planning and work prioritization.

Qualifications Required:

• Bachelor’s degree in computer science, or other related field with Overall 10 years IT experience.
• 3+ years of Data Engineering experience
• 3+ years of Programming experience in Python or PySpark or Scala
• AWS Cloud based data engineering experience including RDS PostGres, Snowflake is a plus
• RestAPI based development experience is a plus
• Experience with SQL a must (any Database)
• Strong experience working in Agile environments
• Ability to coordinate and assist teams to resolve complex analytical and technical issues
• Excellent communication skills, the ability to translate technical concepts to business concepts and vice versa
• Client focused, proactive, and results oriented Configuration Management and Automation using Ansible
• Coding skills beyond scripting including developing, debugging and optimizing
• Excellent analytical skills and the ability to draw meaningful conclusions from independent research