Job Description:

Key Responsibilities

-Design and develop Python-based solutions using object-oriented programming

-Build and maintain ETL pipelines for data cleaning and transformation

-Work with Oracle databases to manage and process data

-Collaborate with cross-functional teams to implement system enhancements

-Perform troubleshooting, debugging, and performance tuning

-Participate in system testing (SIT & UAT), validation, and deployment activities

-Support version control and code management using GitHub

Requirements

-Strong proficiency in Python:

---Classes, functions, and object-oriented programming

---Libraries such as CxOracle and Pandas

---ETL data processing and data cleaning

-Intermediate proficiency in SQL (Oracle)

-Basic knowledge of GitHub

Good to Have

-Experience with Apache Airflow

-Familiarity with Red Hat OpenShift

-Exposure to PostgreSQL

Soft Skills

-Strong problem-solving and analytical skills

-Good troubleshooting capability

-Data analytics mindset

-Positive working attitude and accountability

-Team player with good collaboration skills

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.