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

Shashwath Solution

Pune District

On-site

INR 3,000,000 - 5,000,000

Full time

3 days ago
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Job summary

Shashwath Solution in Pune, India seeks a Senior Developer with expertise in Python, Node.js, and Azure to lead cloud migrations and modernization efforts. The role emphasizes hands-on work with PySpark, Databricks, and Azure data services such as ADF and Synapse Spark, delivering serverless and microservices‑based solutions.

The candidate will drive end-to-end modernization, code remediation, and deployment automation while converting AWS workloads to Azure and ensuring robust CI/CD pipelines

Qualifications

  • 8+ years total experience in JS/Python development
  • Strong expertise in Python and Node.js
  • Hands‑on with PySpark and Azure data services
  • Experience migrating cloud apps AWS→Azure
  • Proficient in serverless and microservices in Azure
  • Experienced with CI/CD pipelines and containerization

Responsibilities

  • Lead migration of Python/Node.js apps from AWS to Azure
  • Refactor legacy AWS architecture and code dependencies
  • Develop and modernize with PySpark, Databricks, ADF Mapping Data Flows, Synapse Spark
  • Deploy serverless solutions using Azure Functions
  • Migrate data/storage connectors from S3 to Azure Blob
  • Convert AWS SDK usage to Azure SDK equivalents
  • Build CI/CD pipelines and deployment scripts for containerized apps
  • Perform unit testing and troubleshooting in Azure environments
  • Provide migration expertise for AWS to Azure workloads

Skills

Python
Node.js
PySpark
Azure Functions
AKS
App Services
Azure Blob Storage
AWS to Azure migration
ADF
Synapse Spark
Databricks
Docker
Kubernetes
Helm
CI/CD
S3 to Azure

Tools

Databricks
Azure Databricks
Synapse
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
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