Senior Data Engineer with GCP

Description

Summary: Seeking a Senior Data Engineer to build and maintain data pipelines and analytics infrastructure on GCP, contributing to a scalable data ecosystem. Highlights: 1. Design, build, and maintain data pipelines using Dataflow on GCP 2. Develop and optimize data models and queries in BigQuery 3. Collaborate with cross-functional teams to translate data requirements We are seeking a **Senior Data Engineer** to support a GCP\-based data platform initiative. The role focuses on building and maintaining data pipelines and analytics infrastructure on Google Cloud Platform, contributing to a scalable and reliable data ecosystem that powers reporting and analytics across the organization. **Responsibilities** * Design, build, and maintain data pipelines using Dataflow on GCP * Develop and optimize data models and queries in BigQuery * Build and support reporting and analytics layers using Looker (or similar BI tooling) * Contribute to the design and evolution of the broader GCP Data Platform * Apply data governance best practices, including access controls, data quality, lineage, and documentation across pipelines and datasets * Collaborate with cross\-functional teams to translate data requirements into scalable technical solutions * Monitor and troubleshoot data pipeline performance and reliability **Requirements** * 3\+ years of hands\-on experience in data engineering * Solid understanding of GCP\-based data platform architecture * Proficiency in BigQuery, including schema design, query optimization, and performance tuning * Expertise in Dataflow for building batch and/or streaming data pipelines * Familiarity with Looker or equivalent BI/analytics tooling * Strong SQL skills and knowledge of data engineering fundamentals (ETL/ELT, data modeling) * Fluent Spanish speaker with English at B2 level for team collaboration **Nice to have** * Background in data governance practices, including access management, data cataloging, and lineage * Understanding of compliance considerations in data platforms **We offer** * International projects with top brands * Work with global teams of highly skilled, diverse peers * Healthcare benefits * Employee financial programs * Paid time off and sick leave * Upskilling, reskilling and certification courses * Unlimited access to the LinkedIn Learning library and 22,000\+ courses * Global career opportunities * Volunteer and community involvement opportunities * EPAM Employee Groups * Award\-winning culture recognized by Glassdoor, Newsweek and LinkedIn