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Data Engineer (GCP)
Data Engineer (GCP)
Quantiphi's logo

Data Engineer (GCP)

Nikita Sinha's profile picture
Posted by Nikita Sinha
4 - 12 yrs
Best in industry
Bengaluru (Bangalore), Mumbai, Trivandrum
Skills
skill iconPython
SQL
ETL
Google Cloud Platform (GCP)
PySpark

We are seeking a skilled Data Engineer to join the AI Platform Capabilities team supporting the UDP Uplift program.

In this role, you will design, build, and test standardized data and AI platform capabilities across a multi-cloud environment (Azure & GCP).

You will collaborate closely with AI use case teams to develop:

  • Scalable data pipelines
  • Reusable data products
  • Foundational data infrastructure

Your work will support advanced AI solutions such as:

  • GenAI
  • RAG (Retrieval-Augmented Generation)
  • Document Intelligence

Key Responsibilities

  • Design and develop scalable ETL/ELT pipelines for AI workloads
  • Build and optimize data pipelines for structured & unstructured data
  • Enable context processing & vector store integrations
  • Support streaming data workflows and batch processing
  • Ensure adherence to enterprise data models, governance, and security standards
  • Collaborate with DataOps, MLOps, Security, and business teams (LBUs)
  • Contribute to data lifecycle management for AI platforms

Required Skills

  • 5–7 years of hands-on experience in Data Engineering
  • Strong expertise in Python and advanced SQL
  • Experience with GCP and/or Azure cloud-native data services
  • Hands-on experience with PySpark / Spark SQL
  • Experience building data pipelines for ML/AI workloads
  • Understanding of CI/CD, Git, and Agile methodologies
  • Knowledge of data quality, governance, and security practices
  • Strong collaboration and stakeholder management skills

Nice-to-Have Skills

  • Experience with Vector Databases / Vector Stores (for RAG pipelines)
  • Familiarity with MLOps / GenAIOps concepts (feature stores, model registries, prompt management)
  • Exposure to Knowledge Graphs / Context Stores / Document Intelligence workflows
  • Experience with DBT (Data Build Tool)
  • Knowledge of Infrastructure-as-Code (Terraform)
  • Experience in multi-cloud deployments (Azure + GCP)
  • Familiarity with event-driven systems (Kafka, Pub/Sub) & API integrations

Ideal Candidate Profile

  • Strong data engineering foundation with AI/ML exposure
  • Experience working in multi-cloud environments
  • Ability to build production-grade, scalable data systems
  • Comfortable working in cross-functional, fast-paced environments
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About Quantiphi

Founded :
2013
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.

Read more

Tech stack

Google Cloud Platform (GCP)
skill iconNodeJS (Node.js)
skill iconPython
Artificial Intelligence (AI)
MLOps

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Bengaluru, Mumbai, and Trivandrum

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- Learn Kotlin, Android’s MVVM model, data binding, retrofit networking library, service
worker, job schedulers, firebase services, firebase notifications, navigation component
and object box/realm databases thoroughly and use leanings to implement features and
enhancements.
- Follow latest trends in Android and learn from team
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Shubham Vishwakarma

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