GCP Data Engineer (specialist)

8 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Platform: GCP

Position Overview:

We are seeking a skilled and experienced GCP Data Engineer to join our team. As a GCP Data Engineer, you will be responsible for designing, implementing and maintaining our data infrastructure and pipelines on the Google Cloud Platform (GCP).


Key Responsibilities:

Design & Development:


  • Design and implement data ingestion pipelines, data processing workflows, and data storage solutions using GCP services such as Cloud Storage, Big Query, Dataflow, Composer etc.
  • Work with other DEs to integrate data solutions into existing or new applications.
  • Develop and manage data integration processes to extract data from various sources, transform and cleanse it, and load it into appropriate data storage systems.
  • Implement robust ETL processes to ensure data quality and consistency.

Data Modeling and Optimization:


  • Design and implement data models and schemas that meet business requirements and support efficient data retrieval and analysis.
  • Optimize data structures and queries for performance and scalability.


Monitoring and Maintenance:

  • Monitor data pipelines and processes for data quality issues.
  • Troubleshoot and resolve data-related problems in a timely manner.
  • Perform regular data backups and implement disaster recovery procedures.

Collaboration and Documentation:

  • Collaborate with cross-functional teams to understand data requirements and provide technical guidance and support.
  • Document data infrastructure, processes, and workflows to ensure knowledge sharing and maintainability.


Qualifications and Skills:


  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

    .
  • 8 years experience as a Data Engineer, preferably 5 years in Google Cloud Platform.

  • Strong knowledge of GCP services such as Cloud Storage, Big Query, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Airflow, DAG etc.
  • Proficiency in SQL and experience with Data Modeling and Optimization.
  • Experience with data integration and ETL processes.
  • Familiarity with programming languages such as Python.
  • Understanding of data security and compliance requirements.
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and collaboration skills.


We’re an equal opportunity employer.

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