S
Shashwath Solution
Senior Python Azure Developer - PySparks (AWS To Azure Migration)
Skills
DockerNodePythonAWS LambdaKafkaDatabricksAWSKubernetesPySparkAzure
2 months ago
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Important information
Contract type:
Permanent
Location:
Noida, Uttar Pradesh, India
Work mode:
Onsite
Published on:
20 August 2026
What they need
- Job Overview:
- We are seeking an experienced Senior Developer with strong expertise in Python, Node.js, Azure, and a proven track record of migrating cloud applications from AWS to Azure. This role requires hands-on experience in PySpark, Databricks, and Azure data services such as ADF and Synapse Spark. The ideal candidate will lead end-to-end modernization and migration initiatives, code remediation, and deployment of serverless and microservices-based applications in Azure.
- Key Responsibilities:
- Lead the migration of Python and Node.js applications from AWS to Azure.
- Analyze legacy AWS architecture, source code, and cloud service dependencies to identify and implement code refactoring and remediation.
- Develop and modernize applications using PySpark (Python API), Databricks, ADF Mapping Data Flows, and Synapse Spark.
- Implement and deploy serverless solutions using Azure Functions, replacing AWS Lambda where applicable.
- Handle migration of storage and data connectors (e.g., S3 to Azure Blob, Confluent Kafka AWS S3 Sync Connector).
- Convert AWS SDK usage to corresponding Azure SDK implementations.
- Design and implement CI/CD pipelines, deployment scripts, and configuration for containerized applications using Kubernetes, Helm charts, App Services, APIM, and AKS.
- Perform unit testing, application troubleshooting, and support within Azure environments.
- Technical Skills:
- Must-Have:
- Python and Node.js development (8+ years total experience)
- PySpark (Python API)
- Azure Functions, AKS, App Services, Azure Blob Storage
- AWS Lambda to Azure Functions migration (Serverless architecture)
- AWS to Azure SDK conversion
- ADF (Azure Data Factory): Mapping Data Flows
- Synapse Spark, Azure Databricks
- Containerization: Docker, Kubernetes, Helm charts
- CI/CD Pipelines and deployment scripting
- Unit testing and application debugging on Azure
- Proven AWS to Azure application migration experience
- Nice-to-Have:
- Confluent Kafka AWS S3 Sync Connector
- APIM (Azure API Management)
- Experience working with both PaaS and Serverless Azure infrastructures
- Tech Stack Highlights:
- Programming: Python, Node.js, PySpark
- Cloud Platforms: AWS, Azure
- Data Services: Azure Blob Storage, ADF, Synapse Spark, Databricks
- Serverless: AWS Lambda, Azure Functions
- Migration Tools: AWS SDK to Azure SDK conversion
- DevOps: CI/CD, Azure DevOps, Helm, Kubernetes
- Other: App Services, APIM, Confluent Kafka
- Location: Hyderabad/ Bangalore/ Coimbatore/ Pune
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