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

Shashwath Solution; Dadri; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Shashwath Solution is seeking an experienced Senior Developer to lead end-to-end modernization and migration projects from AWS to Azure. The role requires hands-on work with PySpark, Databricks, and Azure data services including ADF and Synapse Spark.

The candidate will design serverless and microservices architectures, implement CI/CD pipelines, and ensure smooth deployment in Azure environments with Kubernetes, Helm, and AKS.

Qualifications

• Must have strong Python and Node.js development background.
• 8+ years total experience in JavaScript/Python development.
• Hands-on experience migrating cloud apps AWS to Azure.

Responsibilities

• Lead migration of Python/Node.js apps from AWS to Azure.
• Analyze legacy AWS architecture and refactor code.
• Develop and modernize apps with PySpark, Databricks, ADF and Synapse Spark.
• Deploy serverless solutions with Azure Functions; replace AWS Lambda where applicable.
• Migrate storage/data connectors to Azure Blob; convert AWS SDKs to Azure SDKs.
• Design and implement CI/CD pipelines and deployment scripts for containers.

Skills

Python

Node.js

JavaScript

PySpark

Azure Data Factory

Synapse Spark

Databricks

CI/CD

Unit testing

Tools

Azure Functions

AKS

App Services

Azure Blob Storage

ADF Mapping Data Flows

Synapse Spark

Databricks

Docker

Kubernetes

Helm charts

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 Nodejs 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 (eg, 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