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Job Description

Job Description :


Key Responsibilities :


- Develop and maintain scalable Python-based data pipelines and ETL workflows on AWS (S3, Glue, Lambda, Redshift, Athena).


- Work with large datasets related to insurance, geospatial, and risk modeling domains.

- Integrate and process complex spatial and insurance data for analytics and reporting.

- Collaborate with data scientists and business teams to support risk modeling and decision-making.

- Ensure data solutions are performant, secure, and reliable.

- Use Git and CI/CD pipelines for development and deployment.

Required Skills :


- Strong Python programming skills (Pandas, PySpark, GeoPandas, Airflow).

- Hands-on experience with AWS cloud data services and architecture.

- Experience processing geospatial and insurance data.

- Knowledge of risk modeling data workflows preferred.

- Strong SQL, data modeling, and distributed system skills.

Nice to Have :


- Experience with Kafka, Spark, Docker, Kubernetes.

- Understanding of data governance and security in insurance/geospatial sectors.

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