Job Description
Job Title:  PySpark Developer
City:  Minneapolis
State/Province:  Minnesota
Posting Start Date:  9/8/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description: 

Role: PySpark Developer
Location: Irving, TX (3 Days onsite/week)


Job Description:
We are looking for an experienced PySpark Developer with over 7 years of hands-on experience in designing, developing, and optimizing large-scale data processing applications. The ideal candidate should have strong expertise in PySpark, Azure cloud services, Docker, and Azure Kubernetes Service (AKS), with the ability to build scalable, secure, and high-performing data solutions.

Key Responsibilities
•    Design, develop, and maintain scalable data pipelines using PySpark for large-volume data processing.
•    Work with Azure cloud services to build reliable and efficient data engineering solutions.
•    Deploy, manage, and monitor containerized applications using Docker and Azure Kubernetes Service (AKS).
•    Collaborate with data architects, analysts, and business stakeholders to understand requirements and deliver high-quality data solutions.
•    Optimize PySpark jobs for performance, scalability, reliability, and cost efficiency.
•    Implement best practices for data ingestion, transformation, validation, and processing across cloud environments.
•    Identify and fix application, container, and platform vulnerabilities to ensure secure deployments.
•    Support troubleshooting, production issue resolution, and performance tuning of data pipelines and cloud-based applications.
•    Participate in code reviews, technical discussions, deployment planning, and documentation activities.


Required Skills
•    Strong hands-on experience in PySpark development for distributed data processing.
•    Experience with Azure Kubernetes Service (AKS) for deploying and managing containerized workloads.
•    Proficiency in Docker for containerization, image management, and deployment workflows.
•    Solid working knowledge of Azure cloud services and cloud-native application development.
•    Strong understanding of data engineering concepts, ETL/ELT processes, and performance optimization.
•    Ability to troubleshoot complex technical issues and deliver timely resolutions.


Good-to-Have Skills
•    Working knowledge of Python for scripting, automation, and data processing support.
•    Experience with SSIS for ETL workflow development and migration activities.
•    Exposure to Informatica for data integration and enterprise data management.
•    Experience in identifying, analyzing, and fixing security vulnerabilities across applications, containers, and cloud deployments.


Experience and Qualifications
•    7 years of overall experience in data engineering, big data development, or related technology roles.
•    Strong practical experience in building and supporting production-grade PySpark-based data pipelines.
•    Experience working in cloud-based environments, preferably Microsoft Azure.
•    Good understanding of CI/CD practices, DevOps workflows, and container-based deployments.
•    Strong analytical, problem-solving, and communication skills.
•    Ability to work independently as well as collaboratively in a fast-paced delivery environment.


Preferred Candidate Profile
The ideal candidate will be a technically strong PySpark Developer who can take ownership of data engineering solutions, work effectively with Azure-based platforms, manage containerized deployments using Docker and AKS, and ensure secure, optimized, and reliable delivery of data processing applications.

 

Mandatory Skills: Spark Open Source .

 

Experience: 8-10 Years .

 

The expected compensation for this role ranges from $80,000 to $158,000 .

 

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

 

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

 

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

 

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Information at a Glance

Get Job Alerts

Receive notifications when we have open roles and get other relevant career news


Register >
 

Join Us

Explore open roles that match your interests and skills


Search Jobs >
 

If you encounter any suspicious mail, advertisements, or persons who offer jobs at Wipro, please email us at helpdesk.recruitment@wipro.com. Do not email your resume to this ID as it is not monitored for resumes and career applications.

Any complaints or concerns regarding unethical/unfair hiring practices should be directed to our Ombuds Group at ombuds.person@wipro.com.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.