PySpark Developer

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 230000 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 .

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 $80000 to $158000 .

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 Wipros 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.