GCP Data Engineer/Developer

Role: Engineer. Skills: Big Data, GCP - IT Service Management Consulting. Experience: 5 - 12 Years. Qualification: Bachelor Of Engineering

Key Responsibilities :

• Design, develop, and maintain ETL/ELT pipelines using

  Airflow and transformation tools like dbt (or similar)

• Manage data workflows and orchestration on Google Cloud

  Composer

• Build and maintain data storage and processing workflows,

  preferably on Google Cloud Platform (GCP) using BigQuery and

  GCS (or equivalent tools in other cloud environments)

• Automate infrastructure and deployments using Terraform
• Collaborate with data analysts, scientists, and engineers to

  deliver clean, tested, and reliable datasets

• Monitor pipeline performance, handle failures, and ensure data

  quality and observability

• Follow best practices for coding, testing, documentation, and

  version control

Required Skills and Experience

• Strong proficiency in Python for data processing and

  scripting

• Experience with Airflow (or similar orchestration

  frameworks)

• Familiarity with data transformation tools such as dbt, or

  comparable tools like Spark SQL, Dataform, etc.

• Experience with cloud data platforms, ideally GCP (BigQuery,

  GCS), or equivalent platforms (e.g., AWS S3/Redshift, Azure Data

  Lake/Synapse)

• Understanding of Terraform and infrastructure-as-code

  practices

• Solid foundation in data modeling, SQL, and data warehousing

  principles

• Comfortable working in collaborative, agile environments with

  Git-based workflows