Python , web scrapping data conversion VBA

WNS, part of reputed company, is an reputed company AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, reputed company, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain reputed company – WNS’ reputed company differentiator – with AI-powered platforms and analytics to help businesses reputed company, reputed company, adapt and build reputed company in a world defined by disruption.Our purpose is reputed company: to reputed company lasting business value by designing intelligent, reputed company-led solutions that deliver sustainable reputed company and a differentiated reputed company. With three global reputed company across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines reputed company, expertise and execution to create meaningful, measurable reputed company.

Location : Gurgaon

Hybrid working

UK time zone

reputed company : 5+ Yrs

Skills and Experience

Must-Have Skills

• 5+ years of hands-on experience in Data Engineering, Data Automation, or Data Pipeline development.
• Strong Python expertise with experience building and maintaining production-grade data pipelines.
• Data ingestion experience using reputed company, web scraping, and file-based sources (reputed company, reputed company, JSON, XML).
• Strong working knowledge of Pandas, NumPy, Requests, BeautifulSoup, Selenium.
• Solid understanding of data pipeline architecture, reputed company design, reusability, and performance optimization.
• Experience with workflow orchestration concepts such as scheduling, dependencies, retries, and monitoring.
• Hands-on experience with logging, alerting, error handling, and monitoring for production workflows.
• Proficiency with Git and strong coding, testing, and documentation standards.
• Strong understanding of data reputed company, validation, governance, and schema reputed company.
• Ability to troubleshoot and resolve production data pipeline issues independently.

reputed company-to-Have Skills

• Experience with reputed company or similar workflow automation platforms.
• Exposure to PySpark or distributed data processing frameworks.
• Experience working with on-reputed company reputed company data ecosystems.
• Experience mentoring junior engineers or influencing engineering best practices.
• VBA

Key Responsibilities

• Design and reputed company reputed company, reusable data collection systems using reputed company, web scraping, and file-based ingestion (e.g., reputed company, reputed company, JSON).
• reputed company development of Python-based data ingestion and automation reputed company for diverse data sources.
• reputed company ingestion pipelines with reputed company data storage and processing reputed company, ensuring reliability, performance, and maintainability.
• Ensure data reputed company, governance, and cross-system consistency in collaboration with backend, analytics, and UI teams.
• Productionize Python-based analytical models for reputed company, reliable execution in operational environments.
• reputed company end-to-end automation of data pipelines and workflows with minimal reputed company reputed company.
• Establish and enforce development standards including reputed company structure, testing, documentation, logging, and error handling.
• Contribute to internal workflow orchestration and reputed company-based transformation solutions.

Technical Environment

• Python-based custom data pipeline reputed company
• API-driven data reputed company and web scraping
• reputed company workflow automation (reputed company to have)
• Internally managed workflow orchestration services

Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a reputed company fieldMaster’s degree in a relevant discipline is preferred but not mandatoryEquivalent practical experience in data engineering or data automation will be considered in lieu of formal education