DE&A - Core - Cloud Data Engineering - GCP Data Engineering

12 - 15 years

16 - 20 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a seasoned

GCP Data Engineering Architect

to lead and architect end-to-end data migration solutions from traditional SQL databases to Google Cloud Platform (GCP). The ideal candidate will have deep expertise in cloud-native data services, data modeling, and migration strategies, with a strong background in enterprise-scale data engineering.

 

Key Responsibilities:

  • Solution Architecture:

    • Design scalable and secure data migration architectures from SQL Server, Oracle, or MySQL to GCP services like BigQuery, Cloud SQL, Cloud Spanner, and Dataproc.
    • Define migration strategy including assessment, planning, tooling, and execution.
  • Technical Leadership:

    • Lead technical teams in implementing data pipelines using GCP-native tools (Dataflow, Pub/Sub, Composer, etc).
    • Provide guidance on best practices for data ingestion, transformation, and storage.
  • Stakeholder Collaboration:

    • Work closely with business stakeholders, data analysts, and application teams to understand data requirements and ensure alignment with business goals.
    • Present solution designs and migration roadmaps to senior leadership.
  • Goverce Security:

    • Ensure compliance with data goverce, privacy, and security standards.
    • Implement access controls, encryption, and audit mechanisms.
  • Performance Optimization:

    • Optimize data pipelines and storage for performance and cost-efficiency.
    • Monitor and troubleshoot data workflows and cloud resources.

Required Skills Qualifications:

  • 12 15 years of experience in data engineering, with at least 3 5 years in cloud architecture (preferably GCP).
  • Strong hands-on experience with GCP services: BigQuery, Cloud Storage, Dataflow, Cloud SQL, Cloud Composer, Pub/Sub.
  • Proficiency in SQL and Python/Java/Scala for data processing.
  • Experience with data migration tools and frameworks (eg, Apache Beam, Talend, Informatica, Google Transfer Service).
  • Deep understanding of relational and non-relational databases.
  • Familiarity with CI/CD, Terraform, and DevOps practices in cloud environments.
  • GCP Professional Data Engineer or Cloud Architect certification is a plus.

Preferred Qualifications:

  • Experience in hybrid cloud or multi-cloud environments.
  • Exposure to machine learning pipelines and analytics on GCP.
  • Strong communication and documentation skills.

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