Senior Data Engineer - Cloud Data Platform & ETL

NTT DATA, Inc.; Nashville (TN); Hybrid; USD 104,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance (employer contrib)

Flexible spending / Health savings

Life and AD&D insurance

Disability insurance (short/long-term)

Paid time off

Employee assistance program

401k with company match

Other benefits

Job summary

NTT DATA is seeking a Senior Data Engineer to evolve an enterprise customer profile platform and its integrations across a broad ecosystem. You will design, develop, and optimize data solutions, databases, and data integrations using cloud-native technologies, AWS, and Snowflake to deliver scalable, reliable data assets.

Required: 6+ years in data engineering; 3+ years Oracle RDBMS (SQL/PL/SQL); 3+ years ETL/integration; 2+ years Kafka/Kinesis/SNS/SQS; 2+ years Java/Python; 1+ year AWS.

Qualifications

• 6+ years of Data Engineering experience.
• 3+ years with Oracle RDBMS (SQL/PL/SQL) and performance optimization.
• 3+ years of ETL and data integration design/development.
• 2+ years with messaging/event platforms (Kafka, Kinesis, SNS, SQS).
• 2+ years programming in Java and/or Python (Java preferred).
• 1+ year developing or supporting AWS cloud solutions.

Responsibilities

• Design, develop, and optimize data solutions, databases, and integration capabilities.
• Leverage cloud-native technologies, AWS and Snowflake to deliver scalable, reliable data assets.
• Improve data accessibility, quality, and performance.

Skills

Data engineering

Oracle RDBMS

ETL & data integration

Messaging systems

Java

Python

AWS

Snowflake

Job description

NTT DATA is seeking a Senior Data Engineer to evolve an enterprise customer profile platform and its integrations across a broad ecosystem. You will design, develop, and optimize data solutions, databases, and data integrations using cloud-native technologies, AWS, and Snowflake to deliver scalable, reliable data assets.

Required: 6+ years in data engineering; 3+ years Oracle RDBMS (SQL/PL/SQL); 3+ years ETL/integration; 2+ years Kafka/Kinesis/SNS/SQS; 2+ years Java/Python; 1+ year AWS.