Python Developer (Onsite Hybrid)

NTT DATA North America

Irving (TX)

Hybrid

USD 110,000 - 120,000

Full time

14 days+

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Job summary

A global technology company is seeking a Python Developer in a hybrid role in Dallas, TX. The ideal candidate will have over 5 years of experience in building data pipelines using Python, PySpark, and Django. Responsibilities include collaborating with client teams, coding and implementing applications, and developing prototypes. A competitive salary range of $110,000 to $120,000 is offered along with various benefits.

Qualifications

Minimum 5 years of work experience in building data pipelines using Python.
Experience with at least one of the tools in the Hadoop ecosystem.
Should have experience in working with Python and related packages.

Responsibilities

Collaborate with the client's technology and business staff.
Codes, tests, debugs, implements complex applications.
Develop prototypes and identify problem causality.

Skills

Python

PySpark

Django

MLOps

Unix/Linux

AWS

Azure

GCP

Tools

Hadoop

NumPy

pandas

Job description

Overview

Python Developer (Onsite Hybrid) at NTT DATA North America

Location: Dallas, TX

Base pay range: $50.00/hr - $58.00/hr

W2 Only

Responsibilities

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.

Qualifications

Minimum 5 years of work experience in building data pipelines using Python, PySpark, Django.
Hands-on experience with MLOps.
Minimum 2 years of experience in working with Python and related packages (like NumPy, pandas etc.) to load and scrap the data.
Should have 2+ years of experience with at least one of the tools the Hadoop eco-system (HDFS, AWS Glue, MapReduce, Yarn, Hive, Pig, Impala, Spark, Kafka).
Working experience on Relational/Non-relational databases and familiarity with data model concepts.
Must have 3 years of working exposure in blending as part of a larger scrum team and understanding of related scrum ceremonies.
Working knowledge of Unix/Linux.

Preferred

Knowledge of cloud platforms (e.g., AWS, Azure, GCP)
Certification/course on Data Science from any reputed institute/portal

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.

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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