Software Engineer-ETL

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. 

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. 

Responsibilities

• Responsible for carrying out database development tasks in assigned teams
• Must be able to operate effectively and collaboratively with a team of skilled professionals with wide variety of skillsets and establish a cordial/healthy relationship
• Understanding business and technical requirements to carryout development tasks in a meaningful manner
• Collaborate with the developers and application leads/architects to deliver solutions based on Moody’s standards and requirements
• Partner with application support and development teams to deliver resilient and cost-effective solutions that meet demanding business requirements
• Enabling/Participating /Contributing to an environment of continuous learning, knowledge sharing, and teamwork

Qualifications

• Mandatory
  • Bachelor’s in Engineering/Computer science
  • 6+ years of total software development experience
  • Demonstrate strong and hands-on experience and background in database principles and concepts
  • At least 5 years of hands-on experience with at least one of the databases including Postgres, Oracle, Teradata, DB2, Sybase etc.
  • Strong/Proficient in SQL and writing/understanding stored procedures, packages and PL/SQL programming in general
  • Good background in Data Profiling, Data Analytics workloads and their role in development of data related processes
  • Ability to troubleshoot complex issues and use analytical ability to find innovative solutions
  • Good communication and inter-personal skills
• Added Advantage
  • Understanding of Extract-Transform-Load(ETL)/Extract-Load-Transform(ELT) concepts with clear understanding in each of the stages
  • Hands-on expertise with traditional ETL tools like Informatica, Talend etc. is an added advantage.
  • Exposure to any cloud platforms (AWS/GCP/Azure) and experience in building data engineering solutions in the cloud
  • Hands-on experience with building data engineering solutions using tools/technologies like Python, Spark, Kafka, AWS Glue, S3, RDS, Redshift etc.

Moody’s 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 Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s 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.