Lead Data Engineer with Terraform

EPAM Systems is seeking an experienced Lead Data Engineer with strong Terraform expertise to design, build and maintain scalable data solutions on Google Cloud Platform. In this role, you will lead the development of robust data pipelines while driving best practices across infrastructure automation and DevOps processes.

Responsibilities:

• Design and build scalable data pipelines using GCP services
• Lead the development of data solutions leveraging BigQuery, Dataflow and Dataform/dbt
• Orchestrate workflows with Cloud Composer/Airflow
• Manage real-time data streaming through Pub/Sub and Cloud Storage
• Implement infrastructure as code using Terraform
• Establish and maintain CI/CD pipelines with GitHub Actions
• Collaborate with stakeholders to translate business requirements into technical solutions
• Ensure data quality, reliability and performance across all systems
• Mentor team members and promote engineering best practices

Requirements:

• 5+ years of hands-on experience with SQL and Python
• Expertise in GCP services including BigQuery, Dataflow and Dataform/dbt
• Proficiency in Cloud Composer/Airflow, Pub/Sub and Cloud Storage
• Skills in DevOps practices including CI/CD, GitHub Actions and Terraform
• Good verbal and written communication skills
• Good business acumen
• English proficiency at B2 level or higher
• Google Cloud Professional Data Engineer Certified
• Familiarity with Data Lake technologies such as Iceberg
• Knowledge of CDC using Datastream
• Understanding of Dataplex, Knowledge Catalog and Analytics Hub
• Competency in Looker