data engineer in cloud data platforms

EPAM provides enterprise software products, open source solutions, and accelerators through EPAM SolutionsHub.

• 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.

• 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;
• Nice to have: 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.

• No conditions specified