Description
Summary:
Seeking a Senior Data Engineer to design, build, and maintain GCP-based data pipelines and analytics infrastructure for reporting and company-wide analytics.
Highlights:
1. Contribute to a GCP-based data platform initiative
2. Develop and fine-tune data models and queries within BigQuery
3. Collaborate with cross-functional teams on scalable solutions
We are looking for a **Senior Data Engineer** to contribute to a GCP\-based data platform initiative. This role centers on developing and maintaining data pipelines and analytics infrastructure on Google Cloud Platform, helping build a scalable and reliable data ecosystem that drives reporting and analytics across the company.
**Responsibilities**
* Design, build, and maintain data pipelines leveraging Dataflow on GCP
* Develop and fine\-tune data models and queries within BigQuery
* Create and maintain reporting and analytics layers with Looker (or comparable BI tooling)
* Contribute to the design and ongoing evolution of the wider GCP Data Platform
* Apply data governance best practices, covering access controls, data quality, lineage, and documentation across pipelines and datasets
* Collaborate with cross\-functional teams to convert data requirements into scalable technical solutions
* Monitor and resolve issues related to data pipeline performance and reliability
**Requirements**
* 3\+ years of hands\-on experience in data engineering
* Understanding of GCP\-based data platform architecture
* Proficiency in BigQuery, covering schema design, query optimization, and performance tuning
* Expertise in Dataflow for developing batch and/or streaming data pipelines
* Familiarity with Looker or comparable BI/analytics tooling
* Skills in SQL and knowledge of data engineering fundamentals (ETL/ELT, data modeling)
* Fluent Spanish speaker with English at B2 level to support team collaboration
**Nice to have**
* Background in data governance practices, spanning access management, data cataloging, and lineage
* Familiarity with compliance considerations relevant to 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