Urgent Hiring - GCP Data Engineer

5 - 8 years

15 - 20 Lacs

Posted:2 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Hiring: Senior Data Engineer/ Data Engineer | GCP | ETL | Python

Location:

Experience:

Immediate Joiners only

About the Role

Senior Data Engineer/ Data Engineer

AI-related

Key Responsibilities

  • Build, optimize, and maintain scalable & resilient data pipelines
  • Manage the full data lifecycle: collection, extraction, transformation, and quality assurance
  • Design and implement ETL/ELT processes using tools like Talend, SSIS, or Informatica
  • Develop cloud-based data solutions across AWS (S3, SQS, Redshift, Kinesis, DocumentDB) and GCP (BigQuery, Data Fusion, Cloud Storage)
  • Partner with Data Scientists/ML Engineers to support ML models and AI-driven use cases
  • Implement performance tuning and ensure high-quality data availability
  • Work with NoSQL stores such as MongoDB, DynamoDB, Hive, Presto, and Druid
  • Build dashboards and reports using Tableau, Power BI, or similar BI tools
  • Contribute to real-time streaming pipeline design and implementation
  • Own problems end-to-end and ensure timely delivery of projects

Must-Have Skills

  • Strong knowledge of

    ETL/ELT tools

    (Talend, SSIS, Informatica)
  • Expertise in

    AWS & GCP

    cloud data technologies
  • Strong command of

    Python

    (Java knowledge is a plus)
  • Experience with

    NoSQL databases

    (MongoDB, DynamoDB, Hive, Presto, Druid)
  • Hands-on experience with

    data pipelines

    ,

    data lifecycle

    , and

    performance tuning

  • Experience with

    BI tools

    (Tableau, Power BI)
  • Understanding of

    real-time streaming architectures

  • Exposure to SaaS, cloud computing, lead generation, or search engine marketing

Good to Have

  • Experience in Generative AI-related data architecture
  • Exposure to ML model workflows

Why Join Us?

  • Opportunity to work on modern cloud & AI-driven data projects
  • Work with a strong team of Data Scientists, ML Engineers & Architects
  • Fast-paced environment with end-to-end ownership
  • Growth-oriented and innovation-friendly culture

How to Apply

Send your updated resume to:

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