Padmi

Python Developer

Bangalore · Mumbai · Delhi NCRPosted 30 days ago
Software engineeringMid-level
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Role - Python Developer Location - Gurgaon, Noida, Pune, Bangalore (Hybrid) NP- Early Joiners Preferred, Need to close in 1-2 week’s time. Exp- 4-8 years(Relevant) Shift- 12:00- 9:00PM/12:30 PM-9:30 PM (Depends on business requirements) Skillset- Mandatory – Python, Pyspark, Panda s , Numpy, SQL

Key Responsibilities Software Development : Application Development : Design, develop, and maintain Python applications and scripts tailored to meet business requirements. Code Quality : Write clean, efficient, and well-documented code. Adhere to coding standards and best practices. Data Processing and Analysis : Data Manipulation : Use Pandas and NumPy for data cleaning, transformation, and analysis. ETL Development : Develop and manage ETL (Extract, Transform, Load) processes using PySpark to handle and process large datasets. Big Data Management : PySpark Development : Design and implement PySpark jobs for large-scale data processing. Optimize Spark applications for performance and resource efficiency. Performance Tuning : Identify and resolve performance bottlenecks in PySpark jobs and SQL queries. Database Management : SQL Queries : Write and optimize SQL queries for data retrieval, manipulation, and reporting. Ensure data integrity and efficiency in database operations. Database Design : Assist in the design and maintenance of database schemas to support application and reporting needs. Testing and Quality Assurance : Unit Testing : Develop and execute unit tests to ensure code functionality and reliability. Debugging : Identify, troubleshoot, and resolve issues or bugs in code and data processes. Documentation and Reporting : Technical Documentation : Document code, processes, and workflows for clarity and future reference. Data Reporting : Generate reports and visualizations to present data insights to stakeholders effectively. Collaboration and Communication : Cross-functional Teamwork : Collaborate with data scientists, analysts, and other developers to integrate and utilize data solutions effectively. Stakeholder Communication : Communicate technical concepts and project status to both technical and non-technical stakeholders. Continuous Improvement : Learning and Development : Stay current with industry trends and emerging technologies to continuously improve technical skills and development practices. Process Improvement : Identify opportunities for process improvements and implement changes to enhance efficiency and effectiveness.

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