Senior Python Developer

Job Title: Senior Python Developer

Job Summary:

We are looking for a highly skilled and motivated Python Developer with strong hands-on experience in backend development and cloud-native Python applications. This role will collaborate closely with the Cloud & Data Engineering team to build, maintain, and optimize data-driven applications and pipelines within the Google Cloud ecosystem.

You will be part of a fast-paced environment where your Python expertise will be crucial in enabling AI/ML development, data transformation, and automation processes to support innovative insurance solutions.

Key Responsibilities:

• Design and implement scalable Python modules and microservices to support data pipelines, leveraging tools such as Apache Beam, Cloud Functions, and Dataflow.
• Develop applications and tools using Google Cloud services including BigQuery, Cloud Storage, Pub/Sub, Cloud Run, and Cloud Functions.
• Automate routine data processing and ETL tasks, supporting the Data Engineer in building efficient, repeatable workflows.
• Work in tandem with Data Engineers to align backend code with data preparation needs, including feature extraction and data cleansing logic.
• Build and maintain RESTful APIs to support internal services, data access layers, and integration with ML services.
• Write performant and maintainable code, ensuring efficiency across data-heavy operations.
• Implement unit tests, integration tests, and participate in code reviews. Support CI/CD pipelines for deployment to GCP environments.
• Collaborate in ensuring compliance with data governance, including implementing data masking and secure handling of sensitive data.
• Maintain detailed documentation of Python services and modules and ensure version control via Git.

Required Skills:

• Proficiency with Python libraries for data processing (e.g., Pandas, NumPy, PyArrow).
• Experience building or supporting ETL pipelines and data-centric applications.
• Experience with Docker and cloud-native application deployment.
• Experience with integrating Python applications with Cloud Vision API and Document AI Workbench for intelligent document understanding.
• Familiarity with Google Cloud Document AI for automated document classification, OCR, and data extraction at scale.
• Ability to troubleshoot and debug cloud-based production systems.
• Knowledge of Git, CI/CD tools (e.g., GitLab CI, Cloud Build), and test automation.
• Experience with Docker and cloud-native application deployment.
• Familiarity with API development using frameworks like Flask, FastAPI, or Django.
• Experience building or supporting ETL pipelines and data-centric applications.
• Solid understanding of GCP services including BigQuery, Cloud Functions, Cloud Run, Cloud Storage, Pub/Sub, and Vertex AI.
• Experience with document processing libraries such as PyMuPDF, pdfminer.six, Tika, Textract, and PyPDF2 will be added advantage.
• Good to have proficiency with Python libraries for data processing (e.g., Pandas, NumPy, PyArrow, Dask, Polars, Vaex).
• Strong hands-on experience with Python (3.x) in production environments.
• Ability to troubleshoot and debug cloud-based production systems.

Preferred Qualifications:

• Experience with Apache Beam or similar distributed data processing frameworks.
• Familiarity with ML model integration, e.g., calling Vertex AI endpoints or supporting model APIs.
• Understanding of data privacy frameworks like k-anonymity, especially in the context of insurance data.
• Prior experience in the insurance domain is a plus.
• Google Cloud Certifications (e.g., Professional Cloud Developer) are a strong advantage.

Nice to Have:

• Experience with SQL and BigQuery scripting.
• Exposure to Vertex AI or integration of ML models into pipelines.
• Knowledge of Airflow for orchestration.
• Awareness of local data privacy regulations.