Python Developer ( AWS & Data Bricks )
Job Summary
Experience: 5 15 Years
Location: PAN India
Notice Period: Immediate to July Joiners
We are looking for a highly skilled Python Backend Developer with strong experience in Python AWS REST API development and Databricks. The ideal candidate will be responsible for developing scalable backend applications cloud-native integrations and data platform services while ensuring high availability performance scalability and observability.
Key Responsibilities-
Design develop and maintain scalable backend applications using Python.
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Develop and maintain RESTful APIs for platform and integration services.
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Build and manage workloads using Databricks.
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Develop and support Databricks-to-HBase integrations.
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Design and implement secure scalable multi-tenant backend solutions.
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Implement monitoring logging dashboards and observability solutions.
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Monitor application performance and proactively resolve production issues.
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Collaborate with cross-functional teams including platform cloud and engineering teams.
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Follow AWS best practices for security scalability reliability and cost optimization.
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5 15 years of hands-on experience in Python Backend Development.
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3 years of hands-on experience with AWS Cloud services (EC2 S3 IAM Lambda CloudWatch etc.).
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Strong experience in REST API development.
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6 months to 2 years of hands-on experience with Databricks.
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Good understanding of distributed systems and cloud-native application development.
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Strong problem-solving debugging and analytical skills.
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Experience with HBase integration.
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Knowledge of Spark and Databricks clusters.
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Experience with monitoring logging dashboards and observability tools.
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Experience designing multi-tenant applications.
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Exposure to cloud-native architectures microservices and performance optimization.
This is strictly a Python Backend Developer role.
Profiles that are NOT suitable:
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ETL Developers
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Big Data Developers
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Data Engineers
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Database Developers
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DBAs
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SQL-only Developers
If you have strong experience in Python AWS REST APIs and Databricks wed love to hear from you.