GCP Data Engineer / Cloud Engineer

Looking for GCP Cloud Engineer (Diversity)

Pune location

About the Role:

GCP Data Engineer

Key Responsibilities:

• Design, implement, and optimize

  GCP-based data solutions

  using best practices.
• Develop workflows and pipelines using

  Cloud Composer

  and

  Apache Airflow

  , including setting task dependencies in DAGs.
• Build and manage

  data processing clusters

  using

  Dataproc

  for batch and stream processing.
• Work with

  GCP services

  such as

  Cloud Functions

  ,

  Cloud Run

  , and

  Cloud Storage

  for event-driven and microservice-based architectures.
• Design and implement

  ETL/ELT workflows

  and integrate multiple data sources.
• Write clean, efficient, and scalable code in

  Python, Java, or similar programming languages

  .
• Apply logical problem-solving skills to address business challenges and optimize cloud solutions.
• Collaborate with stakeholders to design and document

  end-to-end GCP solution architectures

  .

Required Skills & Experience:

• Hands-on experience

  with

  Dataproc

  ,

  Cloud Composer

  ,

  Cloud Functions

  , and

  Cloud Run

  .
• Strong

  programming skills

  in Python, Java, or similar, with a focus on clean, maintainable code.
• Good understanding of

  GCP architecture

  and ability to design efficient, scalable, and secure solutions.
• Experience in setting

  task dependencies

  in Airflow DAGs for workflow orchestration.
• Excellent

  logical and analytical thinking

  for solving technical problems.
• Strong communication and documentation skills for cross-functional collaboration.

Preferred Qualifications:

• GCP Professional Data Engineer or Architect Certification.
• Experience in data lake and data warehouse solutions on GCP (e.g., BigQuery, Dataflow).
• Experience with CI/CD pipelines for GCP-based deployments.