Job Description:

Python Pyspark Data Engineer

Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai

Strong Python Skills – Proficient in Python for data manipulation, automation, and building reusable components.

Data Pipeline Development – Experience designing and maintaining ETL/data pipelines using tools like Airflow or custom scripts.

Database Knowledge – Hands-on with SQL and NoSQL databases such as PostgreSQL, MySQL, and MongoDB.

Data Analysis – Skilled in data wrangling and analysis using Pandas, NumPy, and similar libraries.

ETL Expertise – Capable of building scalable ETL workflows for large structured and unstructured datasets.

Cloud Platform Exposure – Familiar with AWS, Azure, or GCP for data storage, processing, and deployment.

API Integration – Experience consuming and integrating RESTful APIs for data exchange.

Big Data Tools (Preferred) – Exposure to PySpark, Hadoop, or Kafka for handling large-scale data. CI/CD & DevOps – Proficient with Git, Jenkins, and Docker for code versioning and automated deployment.

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.