GCP Data Engineer | 6+ Years

6 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

GCP Data Engineer


Key Responsibilities:

  • Design, build, and maintain scalable ETL/ELT pipelines using GCP tools such as

    Cloud Dataflow

    ,

    BigQuery

    ,

    Cloud Composer

    , and

    Cloud Storage

    .
  • Develop and optimize data models for analytics and reporting using BigQuery.
  • Implement data quality, data governance, and metadata management best practices.
  • Collaborate with data scientists, analysts, and other engineers to ensure data availability and reliability.
  • Work with streaming data and batch processing frameworks to handle real-time data ingestion and processing.
  • Monitor and troubleshoot data pipeline performance and ensure high availability.
  • Develop automation and orchestration solutions using

    Cloud Functions

    ,

    Cloud Composer (Apache Airflow)

    , or other tools.
  • Ensure security, privacy, and compliance of data solutions in line with organizational and regulatory requirements.


Required Skills And Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
  • 6+ years of experience in data engineering or similar role, with 4+ years specifically on GCP.
  • Strong hands-on experience with

    BigQuery

    ,

    Cloud Dataflow

    ,

    Cloud Pub/Sub

    ,

    Cloud Storage

    , and

    Cloud Functions

    .
  • Proficient in SQL, Python, and/or Java for data manipulation and automation.
  • Experience with data modeling, warehousing concepts, and data architecture.
  • Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform).
  • Strong problem-solving skills and the ability to work in an agile, collaborative environment.


Preferred Qualification:

  • GCP Professional Data Engineer Certification.
  • Experience with Apache Beam, Airflow, Kafka, or similar tools.
  • Understanding of machine learning pipelines and integration with AI/ML tools on GCP.
  • Experience in multi-cloud or hybrid cloud environments.


What we offer:

  • Competitive salary and benefits package
  • Flexible working hours and remote work opportunities
  • Opportunity to work with cutting-edge technologies and cloud solutions
  • Collaborative and supportive work culture
  • Career growth and certification support

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