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

Shashwath Solution; Dadri; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Shashwath Solution is seeking an experienced Senior Developer to lead modernization efforts in Python, Node.js, and Azure. You will drive migration of cloud applications from AWS to Azure, review legacy code, and implement serverless and microservices architectures.

The role requires hands-on work with PySpark, Databricks, ADF Mapping Data Flows, Synapse Spark, and Azure data services, plus building CI/CD pipelines with Kubernetes, Helm, App Services, APIM, and AKS.

Qualifications

• Strong expertise in Python, Node.js, and Azure.
• Experience migrating cloud apps from AWS to Azure.
• Hands-on with PySpark, Databricks, and Synapse Spark.

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 (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

Skills

Python

Node.js

Azure

PySpark

Databricks

Synapse Spark

Azure Functions

AKS

App Services

CI/CD

Kubernetes

Docker

Azure SDK

Lambda migration

Tools

APIM

Confluent Kafka

Azure DevOps

Helm

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

Migration Tools: AWS SDK to Azure SDK conversion

DevOps: CI/CD, Azure DevOps, Helm, Kubernetes

Other: App Services, APIM, Confluent Kafka