Description

You design, build, and maintain scalable data pipelines on Google Cloud Platform.

This role is on-site.

Responsibilities

• Build and optimize ETL/ELT workflows for data ingestion and transformation using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Cloud Composer.
• Develop data solutions and process large-scale structured and unstructured datasets.
• Implement CI/CD practices for data engineering workflows and monitor cloud-based data infrastructure.
• Ensure data quality, security, and governance across data platforms.
• Optimize data processing performance and troubleshoot production issues.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Proficiency in Python and/or Java for data processing.
• Strong SQL skills and experience with data modeling.
• Experience with BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Functions, and Cloud SQL.
• Experience in ETL/ELT development and data pipeline orchestration.
• Familiarity with Git, CI/CD pipelines, and DevOps practices.
• Understanding of data warehousing concepts and cloud architecture.

Preferred Skills

• Knowledge of Apache Spark and Apache Beam.
• Google Cloud Professional Data Engineer Certification.
• Experience with Terraform or Infrastructure as Code (IaC).

Key Skills

Education

Bachelor's degree