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Data Engineer (GCP + Python)- VOIS

India, Pune · Job Posted July 03, 2026
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Job Description

We are seeking an experienced Cloud Migration Technical Project Manager to lead the migration of applications, data, and infrastructure from legacy environments to modern cloud platforms. The individual will assess, plan, and execute end‑to‑end migration activities while ensuring operational continuity, compliance, and reliability. This role suits someone with strong cloud expertise, analytical capabilities, and a collaborative approach to engaging cross‑functional technical teams.

Job Responsibility

  • Manage full lifecycle migration of virtual machines, databases, applications, and data to Azure using tools such as Azure Migrate, Azure Site Recovery, and Database Migration Service
  • Collaborate with developers, database administrators, system administrators, and cross‑functional teams to ensure seamless migration execution
  • Monitor post‑migration performance, security, and system reliability
  • Troubleshoot and resolve migration‑related issues and conduct detailed root cause analysis
  • Deliver clear documentation and knowledge transfer to support ongoing maintenance
  • Perform L3‑level administration activities including installation, configuration, monitoring, and maintenance of infrastructure systems
  • Conduct vulnerability assessments and implement remediation actions to ensure compliance with security standards
  • Apply OS security hardening techniques aligned with company and industry best practices
  • Use scripting languages such as Bash or Python to automate activities and support enterprise automation initiatives

Requirements

  • Skilled in cloud platform migrations, including Azure, AWS, or managed instances
  • Strong analytical, troubleshooting, and problem-solving abilities
  • Knowledgeable in compliance and governance standards such as GDPR
  • Effective communicator with the ability to collaborate across teams
  • Experienced in platform migration methodologies and industry-standard migration tools
  • Certified in cloud platforms (Azure, AWS, or GCP)
  • Proficient in infrastructure technologies such as Linux, VMware, and vCentre
  • Familiar with ITIL frameworks and IT service management principles
  • Able to build strong stakeholder relationships and deliver outcomes reliably

What we offer

  • Opportunity to work with leading cloud technologies and enterprise-scale migration projects
  • Exposure to cross-functional collaboration and advanced infrastructure environments
  • Growth in cloud certification pathways and technical expertise
  • A dynamic, technology-driven environment fostering innovation and professional development
  • Ability to influence cloud adoption and modernisation initiatives within a global organisation
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  • 7–10 years of relevant experience in data engineering or data warehousing roles
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Job Responsibility
  • Design, develop and maintain data solutions using GCP services such as BigQuery, Data Fusion, Cloud Storage, Cloud Functions, App Engine and Cloud Run
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What we offer
  • Opportunity to work on enterprise-scale data platforms using modern GCP technologies
  • Exposure to global analytics programmes and shared services delivery models
  • A collaborative environment that values process improvement, quality and innovation
  • The chance to influence data reliability, performance and analytics outcomes
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Data Engineer (GCP) - VOIS

We are seeking a skilled Data Engineer to design, build and maintain scalable da...
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  • Hold a Bachelor’s or Master’s degree in Computer Science, Information Technology or a related field
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  • Design, develop and maintain scalable data pipelines and ETL processes using GCP services including BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer, Cloud Functions and Cloud Run
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What we offer
What we offer
  • Opportunity to work on modern, cloud-native data platforms using Google Cloud technologies
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Data Engineer (GCP & ETL) - VOIS

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  • Design and build data pipelines on GCP using Databricks (Delta Lake and Unity Catalog) for orchestration, Dataproc for Spark execution, supporting both ETL/ELT and feature engineering workloads
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  • Identify opportunities to improve business outcomes using analytical techniques, working with Local Markets and Group to understand their requirements and find and/or develop appropriate analytical products
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  • Hybrid work model
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General Manager-VOIS Architect

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