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GCP Engineer

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Onsite

GCP Engineer

Fractal Analytics

GCP Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonKafkaData AnalysisMachine LearningBusiness DevelopmentGoogle AnalyticsTalend

2 months ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Location - Open

Position: Data Engineer (GCP) - Technology

If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As an Analytics Technology Engineer, you will work on the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.

Responsibilities:

  • Be an integral part of large scale client business development and delivery engagements
  • Develop the software and systems needed for end-to-end execution on large projects
  • Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
  • Build the knowledge base required to deliver increasingly complex technology projects

Qualifications & Experience:
A bachelor s degree in Computer Science or related field with 5 to 10 years of technology experience

Desired Technical Skills:

  • Data Engineering and Analytics on Google Cloud Platform:
    • Basic Cloud Computing Concepts
    • Bigquery, Google Cloud Storage, Cloud SQL,
    • PubSub, Dataflow, Cloud Composer, GCP Data Transfer,
    • gcloud CLI
  • Python, Google Cloud Python SDK, SQL
  • Experience in working with Any NoSQL/Columnar / MPP Database
  • Experience in working with Any ETL Tool (Informatica / DataStage / Talend / Pentaho etc.)
  • Strong Knowledge of database concepts, Data Modeling in RDBMS Vs NoSQL, OLTP Vs OLAP, MPP Architecture

Other Desired Skills:

  • Excellent communication and co-ordination skills
  • Problem understanding, articulation and solutioning
  • Quick learner & adaptable with regards to new technologies
  • Ability to research & solve technical issues

Responsibilities:

  • Developing Data Pipelines (Batch/Streaming)
  • Developing Complex data transformations
  • ETL Orchestration
  • Data Migration
  • Develop and Maintain Datawarehouse / Data Lakes

Good to have:

  • Experience in working with Apache Spark / Kafka
  • Machine Learning concepts
  • Google Cloud Professional Data Engineer Certification

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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