Senior Data Engineer - Oracle & OLTP, ETL/AWS

NTT DATA, Inc.; Tennessee; Hybrid; USD 94,000 - 163,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off

Flexible spending account

Job summary

NTT DATA Services in Plano, TX is seeking a Senior Data Engineer (Oracle & OLTP) to design, develop, and optimize data platforms for enterprise applications. The role requires hands-on work on Oracle RDBMS, ETL pipelines, and cloud integrations, with on-site presence five days a week.

You will leverage AWS and Snowflake capabilities, build end-to-end data pipelines, and collaborate across teams to improve data quality, performance, and accessibility.

Qualifications

• 3+ years of data engineering experience.
• Hands-on experience with Oracle RDBMS: SQL, PL/SQL, procedures, and performance tuning.
• 3+ years building and supporting ETL and data integration solutions.
• 2+ years with Kafka, Kinesis, SNS, SQS or similar messaging platforms.
• 2+ years programming in Java and/or Python; Java preferred.
• 1+ year developing solutions in AWS cloud environments.
• 2+ years supporting OLTP systems and high-volume workloads.

Responsibilities

• Design, develop, and optimize data solutions and data platforms.
• Build and maintain end-to-end data pipelines and integration capabilities.
• Collaborate with cross-functional teams to improve data accessibility, quality, and performance.
• Support production data applications and troubleshoot incidents.

Skills

Data engineering

Oracle RDBMS

ETL & data integration

Messaging systems

Java / Python

AWS cloud

OLTP experience

Job description

NTT DATA Services in Plano, TX is seeking a Senior Data Engineer (Oracle & OLTP) to design, develop, and optimize data platforms for enterprise applications. The role requires hands-on work on Oracle RDBMS, ETL pipelines, and cloud integrations, with on-site presence five days a week.

You will leverage AWS and Snowflake capabilities, build end-to-end data pipelines, and collaborate across teams to improve data quality, performance, and accessibility.