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

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Onsite

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

Shashwath Solution

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

Skills

DockerNodePythonAWS LambdaKafkaDatabricksAWSKubernetesPySparkAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

20 August 2026

What they need


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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