Description
Summary:
Seeking a Senior Data Engineer to design, build, and maintain GCP-based data pipelines and analytics infrastructure to drive reporting and analytics.
Highlights:
1. Contribute to a GCP-based data platform initiative
2. Design and maintain data pipelines leveraging Dataflow on GCP
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
*EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.*