Data Engineer (hybrid)

Req ID:

367795 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Engineer (hybrid) to join our team in Oaks, Pennsylvania (US-PA), United States (US). We are currently seeking a Data Engineer to join our team in Oaks, PA (hybrid).

• Develop and maintain DBT models, macros, and SQL scripts to transform data within Snowflake.
• Optimize data models, design star/snowflake schemas, manage warehouse performance, and implement clustering/materialized views.
• Create scalable ELT/ETL pipelines to ingest and transform data from diverse sources.
• Write modular, testable SQL code using version control and manage DBT project structures.
• Implement data quality checks, automated tests, anomaly detection, and data security, including RBAC, masking, and row-level access in Snowflake. Qualifications
• 5+ years of experience with Snowflake and Strong SQL proficiency.
• 5+ years of experience with DBT and Hands-on experience developing with DBT.
• 3+ years of experience with Airflow development.

About

NTT DATA NTT DATA

is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.

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is a part of NTT Group, which invests over $3 billion each year in R D. Whenever possible, we hire locally to

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