Description

You will build and maintain data engineering pipelines within the GCP ecosystem.

This role is on-site.

Responsibilities

• Develop ETL processes using strong SQL and scripting languages.
• Build reusable frameworks in Python to enhance existing data infrastructure.
• Implement and manage data workflows using Dataflow or Airflow.
• Set up and manage GCP IAM configurations.
• Own infrastructure definition and deployment using Terraform within CI/CD pipelines.

Required Skills

• 4+ years of Information Technology experience.
• Hands-on experience with GCP for data engineering tasks.
• Proficiency in Python, Scala, Java, or R.
• Experience with BigQuery, Hadoop, Hive, Spark, or Kafka.
• Strong SQL background for data transformation and querying.
• Experience with Git and GitHub for version control.
• Knowledge of core GCP services including Dataproc and Composer.
• Familiarity with CI/CD pipeline concepts.

Preferred Skills

• Experience in Relational Modeling or Dimensional Modeling.
• Knowledge of Airflow DAG creation and monitoring.

Key Skills

Education

Any Gradute