Senior Python Azure Developer - PySparks (AWS To Azure Migration)

Shashwath Solution; Dadri; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Shashwath Solution is seeking an experienced Senior Developer to lead end-to-end modernization and migration initiatives in Azure. You will work on migrating Python and Node.js apps from AWS, refactor legacy code, and build data pipelines with PySpark, Databricks, and Synapse Spark.

The role requires hands-on expertise with Azure Functions, AKS, App Services, Azure Blob Storage, and ADF Mapping Data Flows, with strong CI/CD and containerization skills across Kubernetes and Helm.

Qualifications

• 8+ years Python/Node.js development experience.

Responsibilities

• Lead migration of Python/Node.js apps from AWS to Azure.
• Analyze legacy AWS architecture and refactor code.
• Develop/modernize apps with PySpark, Databricks, ADF Mapping Data Flows, Synapse Spark.
• Deploy serverless solutions with Azure Functions.
• Migrate storage/data connectors from S3 to Azure Blob.
• Convert AWS SDK usage to Azure SDK.
• Design CI/CD pipelines for Kubernetes, Helm, App Services, APIM, AKS.
• Perform unit testing and troubleshooting in Azure.

Skills

Python

Node.js

PySpark

Azure

AWS to Azure migration

ADF Mapping Data Flows

Synapse Spark

Databricks

Containerization

CI/CD pipelines

Unit testing

Azure Functions

AKS

App Services

Azure Blob Storage

Tools

Docker

Kubernetes

Helm charts

Azure DevOps

APIM

Job description

• 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