Description

Build and maintain backend microservices using Python, integrating AWS data services and Databricks pipelines.

This role is on-site.

Responsibilities

• Develop and maintain backend microservices using Python.
• Build and deploy cloud-native applications leveraging AWS services.
• Implement secure, scalable, and highly available solutions integrating AWS services (S3, Glue, Lambda, SNS, SQS, Step Functions, EventBridge, API Gateway, Load Balancers, Aurora DB).
• Build and manage data pipelines and integrations with Databricks.
• Implement application logging, monitoring, and alerting using Splunk, Dynatrace, and CloudWatch.

Required Skills

• 7+ years of professional experience.
• Strong proficiency in Python for backend development.
• Experience designing and developing microservices architectures.
• Solid experience with AWS cloud services, including S3, Glue, IAM, KMS, Lambda, SNS, SQS, Step Functions, EventBridge, API Gateway, Load Balancers, Aurora DB, and CloudWatch.
• Experience with Databricks and large-scale data processing.
• Hands-on experience with logging, monitoring, and observability tools (Splunk, Dynatrace).
• Strong understanding of serverless and event-driven systems.
• Strong understanding of data lake concepts.

Key Skills

Education

Any Graduate