GCP Data Engineer

Job Title: GCP Data Engineer

Experience:

Location:

Shift Timing:

highly skilled and motivated GCP Data Engineer

• Design, develop, and optimize data pipelines using GCP services, especially BigQuery, Cloud Storage, and Dataflow.
• Develop and maintain ETL/ELT processes using Python and SQL.
• Implement data models and schemas in BigQuery for efficient querying and storage.
• Collaborate with data scientists, analysts, and stakeholders to define data requirements and deliver robust data solutions.
• Monitor and troubleshoot data pipeline performance, quality, and reliability issues.
• Ensure best practices in data security, governance, and compliance on GCP.
• Automate data workflows and contribute to CI/CD pipeline integration for data solutions.

Required Skills & Qualifications:

• Minimum 6+ years of experience in Data Engineering.
• Strong hands-on experience with 

  Google Cloud Platform (GCP)

   services.
• Proficiency in 

  BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions

  .
• Expertise in 

  Python

  , 

  Advanced SQL

  , and shell scripting.
• Familiarity with 

  Cloud Composer (Airflow)

   for workflow orchestration.
• Solid understanding of 

  data warehousing concepts

  , 

  dimensional modeling

  , and 

  schema design

  .
• Experience with 

  version control tools

   like Git and CI/CD tools.
• Knowledge of 

  data security best practices

  , 

  IAM roles

  , and 

  encryption methods

   on GCP.
• Strong problem-solving and debugging skills.

Good communication and team collaboration abilities.