Onix DataMetica is Looking For Smart GCP Engineers....!

About the Role:

GCP Data Engineer

Key Responsibilities:

• Design, develop, and maintain scalable

  data pipelines

  and

  ETL processes

  using GCP services.
• Work with

  BigQuery

  ,

  Dataflow

  ,

  Pub/Sub

  ,

  Cloud Storage

  , and

  Composer

  to implement data solutions.
• Build and optimize

  data models

  to support analytics and reporting needs.
• Collaborate with data analysts, data scientists, and business teams to understand data requirements.
  
• Ensure

  data quality, governance, and security

  across all stages of the data lifecycle.
• Automate data ingestion and transformation processes using

  Python

  ,

  SQL

  , and

  Airflow

  .
• Optimize query performance and cost efficiency in BigQuery and other GCP data tools.
  

Required Skills:

• Strong proficiency in

  SQL

  and

  Python

  for data processing.
• Hands-on experience with

  GCP data services

  :
• BigQuery
  
• Dataflow / Apache Beam
  
• Pub/Sub
  
• Cloud Storage
  
• Cloud Composer (Airflow)
  
• Experience with

  ETL/ELT design

  and

  data warehousing

  concepts.
• Familiarity with

  CI/CD pipelines

  and

  Terraform

  (IaC) for GCP deployments.
• Good understanding of

  data governance

  ,

  security

  , and

  compliance

  .

Preferred Qualifications:

• GCP Professional Data Engineer certification.
  
• Experience in

  data lake

  and

  data warehouse

  architecture.
• Knowledge of

  Spark

  ,

  Dataproc

  , or

  Dataform

  .
• Exposure to

  machine learning pipelines

  or

  analytics dashboards

  .

Soft Skills:

• Strong problem-solving and analytical thinking.
  
• Excellent communication and documentation skills.
  
• Ability to work in a collaborative, agile environment.