Developer / Engineer

NTT DATA North America; Irving (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology services provider in Irving, Texas is seeking a Developer/Engineer with 7+ years of experience in building data pipelines using Python, PySpark, and Django. The ideal candidate will have hands-on knowledge of MLOps and the Hadoop ecosystem. Responsibilities include collaborating with technology teams, coding and documenting applications, and developing prototypes. Exposure to cloud platforms like AWS or Azure is a plus. Join an inclusive organization that values innovation and growth.

Qualifications

• Minimum 7+ years of work experience in building data pipelines.
• Hands-on experience with MLOps.
• Proficient with Python and related packages (NumPy, pandas).
• Experience with Hadoop eco-system tools (HDFS, AWS Glue, etc.).
• Working experience on relational/non-relational databases.
• Experience working in a Scrum team and related ceremonies.
• Knowledge of Unix/Linux.

Responsibilities

• Collaborate with client technology and business staff.
• Code, test, debug, implement, and document applications.
• Negotiate features and associated priorities.
• Identify problem causality and business impact.
• Develop prototypes for solutions.

Skills

Python

PySpark

Django

Data pipelines

MLOps

Hadoop ecosystem

Relational databases

Unix/Linux

Tools

AWS

Azure

GCP

Job description

Job Description

Position: Developer / Engineer (Irving, Texas, United States)

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.

Day to Day job Duties:

• Collaborative working with the client’s technology and business staff day-to-day
• Codes, tests, debugs, implements, and documents complex global applications.
• Negotiate features and associated priorities and help the team and their customers reach consensus.
• Develops and/or leads the development of prototypes,
• Identify problem causality, business impact and root causes.
• Coming up with exact solutions for problems related to object identity and error handling.

Basic Qualifications:

• Minimum 7+ years of work experience in building data pipelines using Python, PySpark, DJango.
• Should have hands on experience on the MLOps.
• Minimum 7+ years of Hands‑On experience in working with Python and related packages (like NumPy, pandas etc.) to load and scrap the data.
• Minimum 7+ years of Hands‑On experience with at least one of the tools the Hadoop eco‑system (HDFS, AWS Glue, MapReduce, Yarn, Hive, Pig, Impala, Spark, Kafka).
• Minimum 7+ years of Working experience on Relational/Non‑relational databases and familiarity with data model concepts.
• Minimum 7+ years of Working exposure in blending as part of larger scrum team and understanding of related scrum ceremonies.
• Minimum 7+ years of Working knowledge of Unix/Linux.

Nice to Have:

• Knowledge of cloud platforms (e.g., AWS, Azure, GCP)

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 the NTT Group, which invests over $3 billion each year in R&D.

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.