Senior Data Engineer with GCP

EPAM Systems, Inc.; Brasil; Teletrabalho; BRL 180 000 - 320 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and certificate

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Resumo da oferta

EPAM Systems, Inc. is seeking a Senior Data Engineer to contribute to a Google Cloud Platform-based data platform project in Brazil.

You will design, build, and maintain data pipelines using Dataflow, optimize BigQuery data models, and develop reporting layers with Looker to drive organization-wide analytics. The role requires 3+ years of data engineering experience, strong GCP knowledge, and proficiency in BigQuery and Dataflow.

Qualificações

• 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 equivalent BI/analytics tooling.
• Skills in SQL and knowledge of data engineering fundamentals (ETL/ELT, data modeling).
• Nice to have background in data governance approaches, encompassing access management, data cataloging, and lineage.

Responsabilidades

• 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 architecture and progression of the wider GCP Data Platform.
• Apply data governance standards across pipelines and datasets.

Conhecimentos

GCP

BigQuery

Dataflow

Looker

SQL

ETL/ELT

Data Modeling

Data Governance

Descrição da oferta de emprego

We are looking for a Senior Data Engineer to contribute to a GCP-based data platform project. The position centers on developing and sustaining data pipelines and analytics infrastructure within Google Cloud Platform, helping shape a scalable and dependable data ecosystem that drives reporting and analytics throughout the organization.ResponsibilitiesDesign, build, and maintain data pipelines leveraging Dataflow on GCPDevelop and fine-tune data models and queries within BigQueryCreate and maintain reporting and analytics layers with Looker (or comparable BI tooling)Contribute to the architecture and progression of the wider GCP Data PlatformApply data governance standards, covering access controls, data quality, lineage, and documentation across pipelines and datasetsCollaborate with cross-functional teams to convert data requirements into scalable technical solutionsMonitor and resolve issues related to data pipeline performance and reliabilityRequirements3+ years of hands-on experience in data engineeringUnderstanding of GCP-based data platform architectureProficiency in BigQuery, covering schema design, query optimization, and performance tuningExpertise in Dataflow for developing batch and/or streaming data pipelinesFamiliarity with Looker or equivalent BI/analytics toolingSkills in SQL and knowledge of data engineering fundamentals (ETL/ELT, data modeling)Fluent Portuguese speaker with English at B2 level for team collaborationNice to haveBackground in data governance approaches, encompassing access management, data cataloging, and lineageFamiliarity with compliance factors relevant to data platformsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.