Responsibilities

Analyze requirements and design, code, test, maintain, and enhance multiple application components across client projects.

Develop scalable data-processing pipelines using PySpark.

Optimize PySpark jobs for performance and resource utilization.

Perform data transformation, aggregation, and cleansing using PySpark.

Collaborate with cross-functional teams to understand requirements and deliver software solutions.

Improve code quality and application performance through testing and debugging.

Document technical specifications and development processes.

Work independently, contribute to team discussions, provide solutions, and assist junior team members.

Requirements

- At least 3 years of experience in PySpark.




- Proficiency in PySpark and experience developing scalable data-processing pipelines.
- Strong understanding of distributed computing concepts and big data frameworks.
- Ability to optimize PySpark jobs for performance and resource utilization.
- Familiarity with data transformation, aggregation, and cleansing techniques within PySpark.
- Experience integrating PySpark applications with cloud platforms and various data sources.
- 15 years of full-time education.

Perks

~ The position is based at the HDC3B - SEZ location.

📌 Software Engineer - Full Time (Hyderabad)
🏢 Accenture
📍 Hyderabad