Top Tech Jobs & Startup Jobs in Pune

Leads a web scraping engineering team and owns scraping infrastructure architecture, scalability, reliability, performance, monitoring, and data quality. Manages scrapers using Playwright, Puppeteer, and Selenium; solves dynamic-site, browser automation, fingerprinting, session, cookie, header, and proxy challenges. Mentors engineers, drives technical standards and planning, collaborates with Engineering, Data, Analytics, and Product teams, and participates in hiring and technical reviews.

Design, build, refactor, and maintain resilient web scrapers for large-scale data extraction. Apply advanced fingerprinting and evasion techniques, manage dynamic content, sessions, cookies, headers, and proxy rotations, and optimize scraper reliability and scalability. Develop monitoring, logging, metrics, and alerting systems; troubleshoot failures and bottlenecks; collaborate with analysts and stakeholders on requirements and data quality; and document best practices and continuously improve scraping tools and methodologies.

As a Software Engineer, you'll build tools, improve APIs, manage QA infrastructure, grasp business needs, and ensure system scalability.

As a Senior Backend Engineer, you will implement ERP data connectors, upgrade backend APIs, maintain data storage, and ensure service stability. You'll collaborate with global teams to enhance data architecture and govern data integrity while utilizing technologies like Go or Python and cloud infrastructures.

The Senior Software Engineer will develop and maintain data systems and APIs, enhance data architecture, and ensure data governance while collaborating with global teams.

The Senior QA Engineer will develop test plans, handle automated and performance testing, manage defects, and collaborate with teams for project progress.

As a Data QA Associate, you'll manage data cleaning and quality assurance processes, transforming receipt data into business insights, collaborating with remote teams, and ensuring data consistency and quality.

The Data Operations Analyst develops custom product attribution based on client needs, utilizing tagging and machine learning; ensuring data mapping accuracy and project delivery.

Build and maintain end-to-end data pipelines using PySpark and SQL on Databricks/Delta. Establish data modeling and pipeline best practices, create AI-ready analytical datasets, troubleshoot pipeline issues, and collaborate with stakeholders to embed business logic and optimize reliability, efficiency, and performance.