Senior Data Engineer

EPAM Systems; Argentina; Presencial; ARS 2.000.000 - 3.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Upskilling and certifications

Global career opportunities

Descripción de la vacante

EPAM Systems is seeking a Senior Data Engineer to contribute to a GCP-based data platform. You will design, build, and sustain data pipelines and analytics infrastructure to support reporting across the organization.

You will work with Dataflow for pipelines, BigQuery for data modeling and querying, and Looker for BI analytics, ensuring data governance and scalable solutions across teams. Proficiency in SQL and ETL/ELT practices is required.

Formación

• 3+ years of hands-on data engineering experience.
• Understanding of GCP-based data platform architecture.
• Proficiency in BigQuery, including schema design and performance tuning.
• Expertise in Dataflow for batch/streaming pipelines.
• Familiarity with Looker or equivalent BI tooling.
• SQL and data engineering fundamentals (ETL/ELT, data modeling).
• Fluent Portuguese with English at B2 for team collaboration.

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 similar BI tooling.
• Contribute to architecture and progression of the GCP Data Platform.
• Apply data governance standards across pipelines and datasets.
• Collaborate with cross-functional teams to translate data requirements into scalable solutions.

Conocimientos

GCP

BigQuery

Dataflow

Looker

SQL

ETL/ELT

Data modeling

Herramientas

Data pipelines

Descripción del empleo

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.

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 architecture and progression of the wider GCP Data Platform
• Apply data governance standards, covering access controls, data quality, lineage, and documentation across pipelines and datasets
• Collaborate with cross-functional teams to convert data requirements into scalable technical solutionsMonitor 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 equivalent BI/analytics tooling
• Skills in SQL and knowledge of data engineering fundamentals (ETL/ELT, data modeling)
• Fluent Portuguese speaker with English at B2 level for team collaboration

Nice to have

• Background in data governance approaches, encompassing access management, data cataloging, and lineage
• Familiarity with compliance factors 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