Python Developer - Data Processing

Role and Responsibilities

• Build and sustain applications focused on data processing using the Python programming language.
• Create and execute workflows for data transformation and ETL pipelines.
• Handle, cleanse, and analyze extensive datasets effectively.
• Write reusable scripts to automate repetitive tasks and streamline processes.
• Enhance the efficiency and dependability of data processing systems.
• Collaborate closely with both technical teams and business stakeholders to align solutions with needs.
• Maintain data integrity and uniformity across different systems.
• Diagnose and fix issues arising in production environments.

Preferred Candidate Profile

• Possess 2 to 5 years of practical experience in Python software development.
• Proficient with data manipulation libraries such as Pandas and NumPy.
• Solid understanding of SQL queries and database management.
• Experienced in data processing techniques and building ETL systems.
• Exhibit strong analytical capabilities and problem-solving aptitude.
• Familiar with handling large-scale datasets efficiently.
• Good communication skills enabling effective teamwork and coordination.

Eligibility

Candidates holding degrees such as B.C.A., B.Sc., B.Tech, or B.E. in any discipline are eligible to apply.