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

Shashwath Solution

Pune District

On-site

INR 1,800,000 - 2,400,000

Full time

10 days ago

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Job summary

Shashwath Solution is looking for an experienced Senior Developer to lead cloud modernization and migration initiatives from AWS to Azure in Pune, India. You will work hands-on with Python, Node.js, PySpark, and Azure data services to deliver end-to-end migration and modernization projects.

Responsibilities include refactoring legacy AWS code, building serverless and microservices in Azure, and deploying CI/CD pipelines with Kubernetes/AKS.

Qualifications

  • Python and Node.js development experience.
  • 8+ years JavaScript/Node.js development experience.
  • PySpark experience (Python API).
  • Proficiency with Azure services: Functions, AKS, App Services, Blob Storage.
  • Experience migrating AWS Lambda to Azure Functions (serverless).
  • Experience converting AWS SDK to Azure SDK.
  • Experience with ADF Mapping Data Flows and Synapse Spark.
  • Experience with Databricks.
  • Containerization with Docker and Kubernetes; Helm charts.

Responsibilities

  • Lead migration of Python and Node.js apps from AWS to Azure.
  • Refactor legacy AWS architecture, codebase, and cloud dependencies.
  • Develop and modernize apps using PySpark, Databricks, ADF Mapping Data Flows, Synapse Spark.
  • Implement and deploy serverless solutions using Azure Functions.
  • Migrate storage and data connectors (S3 to Azure Blob, Confluent Kafka S3 Sync).
  • Convert AWS SDK usage to Azure SDK equivalents.
  • Design CI/CD pipelines and deployment scripts for containerized apps (Kubernetes, Helm, App Services, APIM, AKS).
  • Perform unit testing and troubleshooting in Azure environments.
  • Provide guidance on AWS-to-Azure migration best practices.

Skills

Python
Node.js
Azure
PySpark
Databricks
AWS to Azure migration
CI/CD
Kubernetes
Serverless
Azure Functions

Tools

Docker
Kubernetes
Helm charts
App Services
AKS
Azure Blob Storage
ADF
Synapse Spark
Databricks
Confluent Kafka

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

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