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Senior Google Cloud Data Engineer

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Valtech

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Location:
Brazil

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a Senior Data Engineer with a strong background in data engineering, ideally with hands-on experience in Google Cloud Platform (GCP) services such as Pub/Sub, Dataflow, and BigQuery. The ideal candidate will have solid proficiency in SQL and Python, along with familiarity in moving and transforming data across cloud-based data zones and streaming pipelines (ETL/ELT). Comfort with cloud services, data management, automation tools, and real-time data processing is essential.

Job Responsibility:

  • Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines
  • Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines
  • Provide consultation and lead the implementation of complex programs
  • Develop and maintain documentation relating to all assigned systems and projects
  • Tune queries running over billions of rows of data running in a distributed query engine
  • Perform root cause analysis to identify permanent resolutions to software or business process issues
  • Implement and maintain dbt transformation models, CI pipelines, and data contracts for curated campaign, ad group, keyword, audience, and landing-page marts
  • Build and monitor data quality gates (Great Expectations and reconciliation checks) and freshness SLOs
  • Optimize BigQuery cost and performance using query tuning, storage design, and reservation strategy
  • Implement platform hardening controls including retries, dead-letter queues, DR runbooks, and support for VPC-SC and DLP validation

Requirements:

  • Strong expertise in Python for building data pipelines, processing tasks, and automation
  • Advanced SQL capabilities (nested fields, analytic functions)
  • Hands-on experience with Core GCP Data Stack: BigQuery (expert-level SQL, performance tuning, partitioning and clustering strategy, production-grade curated marts and feature tables, working knowledge of BQML)
  • Dataflow (Apache Beam)
  • Strong proficiency in building reliable batch and incremental pipelines for GA4/Google Ads data into BigQuery, with streaming patterns
  • Pub/Sub: Experience with event-driven architecture and message queuing
  • Hands-on experience with Visualization & BI: Looker Core – Advanced proficiency in LookML (derived tables, explores, Liquid syntax)
  • Semantic Modeling: Develop robust LookML models
  • Dashboard Creation: Design intuitive dashboards in Looker for operational teams and executives
  • Ability to independently own workstreams while collaborating closely with data science, analytics, and engineering peers in agile delivery
  • Advanced English skills

Nice to have:

  • Google Cloud Professional Data Engineer certification
  • Google Professional Machine Learning Engineer certification
  • Google Cloud Professional Cloud Architect certification
  • Bachelor’s or Master’s degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics)
  • Working knowledge of cloud architecture components in GCP
  • Proficiency in Big Data environments and tools such as Spark, Hive, Impala, Pig, etc.
  • Proficiency in Terraform
  • Familiarity with front and back-end web application stacks and frameworks, and API design and usage (REST/GraphQL)
  • Experience leading and managing technical data/analytics/machine learning projects
  • Experience supporting data products consumed by conversational analytics surfaces
What we offer:
  • Growth opportunities
  • A values-driven culture
  • International careers
  • The chance to shape the future of experience
  • An environment designed for continuous learning, meaningful impact, and professional growth
  • A workplace culture that fosters creativity, diversity and autonomy
  • A borderless, global framework, which enables seamless collaboration

Additional Information:

Job Posted:
February 20, 2026

Work Type:
Remote work
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