NTT DATA is seeking a skilled Teradata Developer to join our dynamic team. We are looking for innovative and passionate individuals eager to contribute to a forward-thinking and adaptable organization. This role offers an exciting opportunity to work with cutting-edge technology and impact client success.

As a global leader in business and technology services, NTT DATA is committed to driving responsible innovation and accelerating client success. With unparalleled expertise in AI, cloud, security, and data services, we empower organizations to navigate the digital future. Join our diverse, international team and contribute to a company that invests heavily in research and development.

Design, code, test, debug, and document data warehouse ETL or reporting code in accordance with NTT DATA and client standards. Document ETL logic and workflow processing with expert proficiency. Develop and apply project management techniques using both waterfall and agile methodologies. Participate in a 24x7 on-call support rotation to ensure daily data loads and incident resolutions meet all service level agreements (SLAs).

Translate business requirements into technical specifications and vice versa, ensuring clear communication. Develop statements of problems and requirements, understanding the core business processes and the purpose of the functional area. Independently manage and execute tasks across all areas of knowledge.

A minimum of 4 years of enterprise data warehouse ETL development experience, including 4 years specifically with various versions of Teradata. Requires 3 years of proficiency in SQL, with experience in Teradata, Oracle, and/or other databases. Familiarity with UNIX is essential. Experience designing, developing, and maintaining job schedulers like Control-M or Tivoli Workload Scheduler for at least 2 years. Strong written and verbal communication skills are a must.

Candidates should possess the ability to work independently and demonstrate an understanding of systems development lifecycle and release management. Experience in providing on-call support and meeting data load SLAs is required. The ability to foresee implications of decisions and understand core business processes is also valued.