Develop event driven and serverless architectures using AWS managed services
Implement secure scalable and highly available solutions
Integrate AWS services such as S3 Glue Lambda SNS SQS Step Functions EventBridge API Gateway Load Balancers and Aurora DB
Implement IAM KMS and security best practices
Build and manage data pipelines and integrations with Databricks
Implement application logging monitoring and alerting using tools such as Splunk Dynatrace and CloudWatch
Collaborate with cross functional teams including data engineers DevOps and product teams
Participate in code reviews architecture discussions and performance tuning
Required Skills and Qualifications
Strong proficiency in Python for backend development
Solid experience with AWS cloud services including
S3 Glue IAM KMS
Lambda SNS SQS
Step Functions EventBridge
API Gateway Load Balancers
Aurora DB
CloudWatch
Experience designing and developing microservices architectures
Strong understanding of serverless and event driven systems
Experience with Databricks and large scale data processing
Hands on experience with logging monitoring and observability tools such as Splunk Dynatrace
Strong understanding of data lake concepts
Nice to Have
Experience working with Snowflake
Required Experience:
Staff IC
Develop event driven and serverless architectures using AWS managed servicesImplement secure scalable and highly available solutionsIntegrate AWS services such as S3 Glue Lambda SNS SQS Step Functions EventBridge API Gateway Load Balancers and Aurora DBImplement IAM KMS and security best practicesBu...
Develop event driven and serverless architectures using AWS managed services
Implement secure scalable and highly available solutions
Integrate AWS services such as S3 Glue Lambda SNS SQS Step Functions EventBridge API Gateway Load Balancers and Aurora DB
Implement IAM KMS and security best practices
Build and manage data pipelines and integrations with Databricks
Implement application logging monitoring and alerting using tools such as Splunk Dynatrace and CloudWatch
Collaborate with cross functional teams including data engineers DevOps and product teams
Participate in code reviews architecture discussions and performance tuning
Required Skills and Qualifications
Strong proficiency in Python for backend development
Solid experience with AWS cloud services including
S3 Glue IAM KMS
Lambda SNS SQS
Step Functions EventBridge
API Gateway Load Balancers
Aurora DB
CloudWatch
Experience designing and developing microservices architectures
Strong understanding of serverless and event driven systems
Experience with Databricks and large scale data processing
Hands on experience with logging monitoring and observability tools such as Splunk Dynatrace
Strong understanding of data lake concepts
Nice to Have
Experience working with Snowflake
Required Experience:
Staff IC
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