Design, develop, and maintain large-scale data pipelines using PySpark.
Collaborate with cross-functional teams to identify and prioritize project requirements.
Develop and implement data models and architectures to support business intelligence initiatives.
Troubleshoot and resolve complex technical issues related to data processing and analysis.
Optimize data storage and retrieval processes for improved performance and efficiency.
Ensure compliance with industry standards and best practices for data security and privacy.

Job Requirements
Solid proficiency in Python programming language and PySpark framework.
Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
Excellent understanding of data modeling, data warehousing,



and ETL processes.
Solid analytical and problem-solving skills with attention to detail.
Ability to work collaboratively in a team setting and communicate effectively with stakeholders.
Familiarity with agile development methodologies and version control systems.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Pyspark Developer / Senior Data Engineer Bengaluru (India)
🏢 UnionSys Technologies
📍 India