Roles and Responsibility
Design, develop, and deploy large-scale data processing pipelines using PySpark and Spark.
Collaborate with cross-functional teams to identify business requirements and design solutions.
Develop and maintain high-quality code that meets performance, security, and reliability standards.
Troubleshoot and resolve complex technical issues related to data processing and pipeline failures.
Participate in code reviews and contribute to the improvement of the overall codebase quality.
Stay up-to-date with industry trends and emerging technologies in big data processing.

Job Requirements
Solid proficiency in Python programming language and its ecosystem.
Experience with PySpark and Spark is required; knowledge of other big data frameworks like Hadoop or Flink is a plus.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a team workplace and communicate effectively with stakeholders.
Robust understanding of software development principles, patterns, and practices.
Familiarity with agile development methodologies and version control systems like Git.

📌 Pyspark Developer Bengaluru
🏢 Purview Services
📍 Bengaluru