Data Engineer - Oracle data integrato and BI

• Posted 1 day ago • Updated 4 hours ago
Full Time
USD $93,816.00 - 162,875.00 per year
Fitment

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Job Details

Skills

  • Adaptability
  • FOCUS
  • Workflow
  • Data Link Layer
  • Network Layer
  • Root Cause Analysis
  • Data Processing
  • Management
  • Job Scheduling
  • Recovery
  • Data Modeling
  • Physical Data Model
  • Mapping
  • Meta-data Management
  • Documentation
  • Dashboard
  • Reporting
  • Semantics
  • Performance Tuning
  • Data Quality
  • Collaboration
  • Agile
  • Sprint
  • Data Engineering
  • Oracle Data Integrator
  • SQL
  • Data Integration
  • Oracle
  • Database
  • ELT
  • Orchestration
  • Microsoft Power BI
  • Tableau
  • IBM Cognos Analytics
  • Scripting
  • Programming Languages
  • Python
  • Shell
  • Cloud Computing
  • Microsoft Azure
  • Data Warehouse
  • Dimensional Modeling
  • Health Care
  • Migration
  • Extract
  • Transform
  • Load
  • Business Intelligence
  • Analytics
  • Use Cases

Summary

Req ID: 378306

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 - Oracle data integrato and BI to join our team in NA, Texas (US-TX), United States (US).

Role OverviewWe are seeking an Intermediate-Level Data Engineer with expertise in Oracle Data Integrator (ODI) and Business Intelligence (BI) to focus on designing, developing, and supporting data pipelines and BI solutions that enable reliable, high-quality data delivery for analytics and reporting.

Key Responsibilities

Data Engineering & Oracle Data Integrator (ODI) Development Design, develop, and maintain ETL/ELT pipelines using Oracle Data Integrator (ODI)
Build and manage data integration workflows for ingesting and transforming data from multiple sources
Develop reusable data integration components and frameworks
Ensure data pipelines are scalable, reliable, and optimized for performance

Data Pipeline Operations & Support Monitor, troubleshoot, and support production data pipelines (L2/L3 support)
Perform root cause analysis (RCA) and resolve data processing issues
Manage job scheduling, execution, and failure recovery processes
Ensure consistent and timely data availability across platforms

Data Modeling & Integration Support logical and physical data modeling aligned to enterprise standards
Perform source-to-target mapping and define transformation logic
Integrate data across enterprise systems and maintain data consistency
Maintain metadata, data lineage, and documentation for pipelines and models

Business Intelligence & Reporting Support Support BI reporting tools and platforms (e.g., Power BI, Tableau, or similar)
Develop and optimize datasets for reporting and analytics
Collaborate with BI developers to ensure accurate data delivery for dashboards
Support performance optimization for reporting queries and semantic layers

Performance Optimization & Data Quality Optimize ETL processes and query performance to improve efficiency
Implement data quality checks, validation rules, and reconciliation processes
Identify and resolve data anomalies and inconsistencies
Continuously improve pipeline performance and reliability

Collaboration & Delivery Work closely with data architects, DBAs, BI developers, and business stakeholders
Translate business requirements into technical data pipeline solutions
Participate in Agile development processes and sprint cycles
Support data platform modernization initiatives within Project Sunshine

Required Qualifications 6+ years of experience in Data Engineering, ETL development, or data integration roles
6+ year of experience with Oracle Data Integrator (ODI)
6+ year of experience building and supporting enterprise data pipelines
6+ year of experience working with large, complex datasets

Technical Skills Strong SQL and data integration expertise
Experience with Oracle databases and data platforms
Experience with ETL/ELT tools and pipeline orchestration
Experience with BI tools (Power BI, Tableau, Cognos, or similar)
Familiarity with scripting or programming languages (Python, Shell, etc.)

Preferred Qualifications Experience with cloud data platforms (Azure preferred)
Exposure to data warehousing and dimensional modeling concepts
Experience in healthcare or regulated environments
Experience supporting data modernization or migration initiatives

Key Success Metrics Reliable and efficient data pipeline performance
High-quality data delivery for BI and analytics use cases
Reduced pipeline failures and faster incident resolution

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $93,816 - $162,875 per year. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

#LaunchJobs #LI-NorthAmerica #LaunchEngineering

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. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, ;br>
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80166078
  • Position Id: 4c377fbf746e3c38c4c6cf284f628aa
  • Posted 1 day ago
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