Python Developer

3 days ago

Bengaluru, Karnataka, India Crediwatch Information Analytics Full time ₹ 6,00,000 - ₹ 18,00,000 per year

We are seeking a highly skilled and motivated Full Stack Python Developer to join our team and contribute to the Crediwatch Risk Management product. The ideal candidate will be flexible, thrive in a demanding startup environment, and report directly to the Lead Engineer. This is a work from office' position at our office in Bangalore.

Key Responsibilities

  • Design and develop web scraping frameworks to extract structured and unstructured data from a variety of sources (government, regulatory, financial, and open-web).
  • Build and maintain ETL pipelines for large-scale ingestion, transformation, and loading of data into data warehouses or document stores.
  • Write efficient, scalable, and resilient Python code, including retry logic, job orchestration, and error handling.
  • Work with Celery / Airflow / Dagster (or equivalent) to automate and schedule scraping and ETL jobs.
  • Implement anti-bot bypass mechanisms including CAPTCHA solving integrations, headless browsers (e.g., Playwright), and session management.
  • Ensure data quality, deduplication, and validation at every stage of the pipeline.
  • Monitor and optimize scraping & ETL performance for speed, cost, and reliability.
  • Collaborate with DevOps and Infra teams to deploy and scale workloads on AWS (ECS/Lambda/Batch) or similar cloud environments.

Must have

  • 3+ years hands-on experience in Python with a strong focus on data engineering.
  • Proven experience with web scraping frameworks (Playwright, Requests, BeautifulSoup, Selenium, Scrapy).
  • Strong understanding of ETL design patterns and best practices.
  • Experience with task orchestration tools (Celery, Airflow, Dagster).
  • Proficiency with databases and data stores (MySQL, PostgreSQL, MongoDB, S3, or Data Lakes).
  • Working knowledge of Docker and containerized deployments.
  • Familiarity with cloud environments (AWS preferred).
  • Strong debugging, logging, and monitoring skills.
  • Uses Git for source code management.
  • Continuous Deployment - Writing new application features so they can be deployed with zero downtime.
  • Strong ability to articulate architectures and problem statements.
  • Experience with Kubernetes deployment.

Good to have

  • Experience with OCR tools (e.g., EasyOCR, Tesseract) for scraping complex sources.
  • Knowledge of distributed scraping or proxy rotation strategies.
  • Familiarity with data modeling and schema evolution.
  • Exposure to message queues (Redis, RabbitMQ, Kafka).
  • Experience with API integrations and data ingestion from third-party services.

Plus Points

  • Prior experience working in a fast-paced startup environment.
  • Domain knowledge in the financial/data space.
  • Any external, relevant certifications.
  • Hands-on knowledge of deployment and monitoring tools.

The process

  • Candidates who get shortlisted will need to attend a scheduled coding challenge in our office.
  • Those who qualify will need to go through a second round of interview
  • Suitable candidates will be given an offer as per the company policy.

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