Senior Data Engineer: Oracle/OLTP, Cloud & On-Site

NTT DATA, Inc.

Plano (TX)

On-site

USD 94,000 - 163,000

Full time

2 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401k with match
Paid Time Off

Job summary

NTT DATA Services is seeking a Senior Data Engineer to design, develop, and optimize data solutions for an enterprise customer profile platform. The role emphasizes Oracle RDBMS, ETL pipelines, and cloud-native tooling with AWS and Snowflake. On-site 5 days/week in Plano, TX or Nashville, TN.

Strong scripting in SQL/PL-SQL and experience with OLTP systems are required. Candidates should bring 3+ years in data engineering, Java/Python skills, and familiarity with Kafka/Kinesis and AWS services to

Qualifications

  • 3+ years of Data Engineering experience.
  • 3+ years with Oracle RDBMS, including SQL, PL/SQL, and tuning.
  • 3+ years building ETL and data integration pipelines.
  • 2+ years with messaging/event platforms (Kafka, Kinesis, SNS, SQS).
  • 2+ years programming in Java and/or Python (Java preferred).
  • 1+ year in AWS cloud environments.
  • 2+ years supporting OLTP systems and high-volume workloads.

Responsibilities

  • Design, develop, and optimize data solutions and integration capabilities.
  • Leverage cloud-native tech, AWS, and Snowflake to ensure data quality and performance.
  • Support enterprise customer profile platform across a broad ecosystem.

Skills

Oracle RDBMS
SQL
PL/SQL
ETL
Data integration
Kafka
Kinesis
Java
Python
AWS
OLTP
Snowflake

Tools

Kafka
Amazon Kinesis
SNS
SQS
Snowflake
AWS

Job description

NTT DATA Services is seeking a Senior Data Engineer to design, develop, and optimize data solutions for an enterprise customer profile platform. The role emphasizes Oracle RDBMS, ETL pipelines, and cloud-native tooling with AWS and Snowflake. On-site 5 days/week in Plano, TX or Nashville, TN.

Strong scripting in SQL/PL-SQL and experience with OLTP systems are required. Candidates should bring 3+ years in data engineering, Java/Python skills, and familiarity with Kafka/Kinesis and AWS services to

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