Data Migration Engineer (Informatica/DBT)

NTT DATA, Inc.

Texas

Hybrid

USD 85.000 - 148.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Medical, dental, and vision insurance
401k with company match
Paid time off
Flexible spending or HSA
Employee assistance program

Zusammenfassung

NTT DATA Services is seeking a Senior Data Migration Engineer (Informatica/DBT) to lead a large-scale migration to a modern data stack. The role emphasizes Python-based EL pipelines, dbt transformations, and Airflow orchestration in a remote US setting.

You will convert complex Informatica workflows to Python/dbt, build robust data pipelines, and ensure production-quality outputs with enterprise-scale performance.

Qualifikationen

  • 5+ years of Informatica PowerCenter experience (mappings, sessions, workflows).
  • 3+ years of hands-on dbt Core experience (models, tests, incremental).
  • Experience with Airflow DAGs and orchestration.
  • 5+ years of Python for data pipelines and batch processing.
  • 5+ years of SQL experience with large datasets.
  • Experience with Oracle Data Pump or SQL Server BCP for high-volume movement.

Aufgaben

  • Translate Informatica workflows into Python EL scripts and dbt models.
  • Develop Python EL pipelines to land high-volume data into the warehouse.
  • Design dbt transformation models with best practices and tests.
  • Create Airflow DAGs to orchestrate end-to-end pipelines.
  • Contribute to GitLab CI/CD for dbt and Airflow deployments.
  • Perform peer reviews and troubleshoot data discrepancies during SIT/UAT.
  • Produce runbooks and technical documentation.

Kenntnisse

Informatica PowerCenter
dbt Core
Airflow
Python
SQL
Oracle Data Pump / BCP

Tools

SQLAlchemy
cx_Oracle
pyodbc

Jobbeschreibung

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Date: Oct 22, 2026


Location: Remote, TX, US


Company: NTT DATA Services


NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.


We are currently seeking a Data Migration Engineer (Informatica/DBT) to join our team remotely in the US.


Role Overview


  • The Senior Data Migration Engineer serves as a hands‑on technical contributor and delivery anchor, responsible for designing and implementing Python‑based extract/load pipelines, dbt‑based transformations, and Airflow‑based orchestration for a large‑scale migration from Informatica PowerCenter to a modern data stack.

  • This role requires deep expertise in converting complex Informatica workflows into Python, dbt, and Airflow, and the ability to deliver production‑quality, functionally equivalent output at enterprise scale.


Key Responsibilities


  • Assess complex Informatica workflows including sessions, mappings, and parameterizations and translate them into equivalent Python EL scripts and dbt transformation models.

  • Develop and maintain Python EL pipelines to land high‑volume data, including billion‑row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP.

  • Design and develop dbt transformation models based on Informatica mapping logic, incorporating dbt best practices including model layering, macros, incremental strategies, and snapshot patterns.

  • Develop dbt‑native tests as well as custom Python unit tests to validate transformation correctness and data quality.

  • Develop Airflow DAGs to orchestrate Python EL and dbt scripts end‑to‑end, producing output that is functionally equivalent to the source Informatica workflows.

  • Contribute to GitLab CI/CD pipeline for dbt and Airflow code, including lint gates, automated testing, and deployment to shared NAS.

  • Perform peer code reviews and provide constructive technical feedback to fellow engineers.

  • Troubleshoot performance issues and data discrepancies during SIT and UAT, including row‑count reconciliation between source Oracle/SQL Server systems and the target warehouse.

  • Contribute to technical documentation, runbooks, and handover materials.


Required Skills & Experience


  • 5+ years of Informatica PowerCenter experience - mappings, sessions, workflows, and parameterization

  • 3+ years of hands‑on dbt Core experience - model layering, macros, tests, incremental materializations

  • Any number of years of Airflow experience - DAG authoring, task dependencies, and incorporation with scheduling tool

  • 5+ years of Python experience, including production use of parallelism and batch data processing

  • 5+ years of SQL experience - complex joins, window functions, aggregations across large datasets

  • Experience with Oracle Data Pump (expdp/impdp) or SQL Server BCP / BULK INSERT for high‑volume data movement


Preferred


  • Experience with SQLAlchemy, cx_Oracle, or pyodbc for Python‑based database connectivity

  • Experience mentoring junior and mid‑level engineers in offshore delivery models


NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $84,996-$147,563. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, 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, lifeand 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.


#LI-NorthAmerica


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, https://us.nttdata.com/en/contact-us .


NTT DATA endeavors to make https://us.nttdata.com 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 https://us.nttdata.com/en/contact-us . 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 .

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