Data Engineer - Google Cloud

5 - 10 years

15 - 30 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

If interested, Please apply on website:

https://aviato.jobs.growhire.com/jobs/cm2bie3v805ydpyl7zuwdobha

About Us:

Data Engineer

You will work directly with clients, translating their business requirements into scalable data solutions, while providing technical expertise and guidance.

Key Responsibilities:

  • Client Engagement:

    Work closely with clients to understand business needs, gather technical requirements, and design solutions leveraging GCP services.
  • Data Pipeline Design & Development:

    Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer.
  • Data Warehousing & Lake Solutions:

    Architect, implement, and optimize BigQuery based data lakes and warehouses.
  • Real Time Data Processing:

    Implement and manage streaming data pipelines using Kafka, Pub/Sub, and similar technologies.
  • Data Analysis & Visualization:

    Create insightful data dashboards and visualizations using tools like Looker, Data Studio, PowerBI, or Tableau.
  • Technical Leadership & Mentorship:

    Provide guidance and mentorship to team members and clients, helping them leverage the full potential of Google Cloud.

Required Qualifications:

  • Experience:

    • 5+ years as a Data Engineer working with Google Cloud
    • Proven experience in Python with libraries like Pandas and NumPy.
    • Expertise in building data pipelines using Apache Beam, Cloud Dataflow, or similar tools.
    • Solid knowledge of Kafka for real-time data streaming.
    • Proficiency with BigQuery, Google Pub/Sub, and other Google Cloud services.
    • Familiarity with Apache Hadoop for distributed data processing.
  • Technical Skills:

    • Strong understanding of data architecture and processing techniques.
    • Solid understanding of ETL pipelines, data ingestion, transformation, and storage.
    • Knowledge of data modeling, data warehousing, and big data management principles.
  • Certifications:

    • Google Cloud certification (Professional Data Engineer, Cloud Architect, or similar Pro level)

      is

      mandatory

      for this role.

Soft Skills:

  • Excellent English communication skills.
  • Client facing experience and the ability to manage client relationships effectively.
  • Strong problem solving skills with a results-oriented approach.

Preferred Qualifications:

  • Visualization Tools:

    Experience with tools like Looker, Power BI, or Tableau.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities to work with cutting-edge cloud technologies with large customers.
  • Collaborative work environment that encourages learning and professional growth.
  • A chance to work on high-impact projects for leading clients in diverse industries.

If you're passionate about data engineering, cloud technologies, and solving complex data problems for clients, wed love to hear from you!

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