Python Pyspark Developer

Responsibilities

• Design, develop, and deploy scalable data processing applications using Python and PySpark.
• Collaborate with data scientists and analysts to understand requirements and translate them into technical solutions.
• Write efficient and optimized code to process and analyze large volumes of data.
• Implement data ingestion processes from various data sources to the data processing platform.
• Create and maintain data pipelines and workflows for data processing and analytics.
• Perform data quality checks and ensure data integrity throughout the system.
• Troubleshoot and debug production issues to identify and resolve technical problems.
• Stay updated with the latest technologies and tools in data processing to drive innovation and improve performance.
• Collaborate with cross-functional teams to ensure seamless integration of data processing applications with other systems.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4-6 years of experience in Python development with specific experience in PySpark.
• Strong proficiency in Python programming language.
• Experience with distributed computing frameworks like PySpark and Apache Spark.
• Knowledge of data processing and analytics techniques.
• Experience with data integration and ETL processes.
• Familiarity with data storage and querying systems like SQL and NoSQL databases.
• Understanding of data structures, algorithms, and distributed systems.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and in a team environment.
• Proactive attitude towards learning and professional development.

Skills: Python, PySpark, Apache Spark, SQL, NoSQL