EVT
EVT
501 – 1,000 Employees
ConsultingLogisticsRecruitment
EVT helps businesses expand their technology teams through nearshore staff augmentation in Brazil. The company sources and evaluates developers and other IT professionals, matching them with organizations that need collaboration aligned with U.S. time zones and supported by cultural and language compatibility. EVT oversees the engagement from candidate search and technical assessment through contracting, onboarding, and ongoing support, giving companies a more streamlined way to access Brazilian tech talent as their needs evolve.

GCP Data Engineer (Remote, Brazil)

Build batch and streaming data pipelines on Google Cloud for EVT, an enterprise IT solutions company. The role covers data development, orchestration, governance, and collaboration in an international environment.

Description

  • Build and operate batch and streaming data pipelines on Google Cloud.
  • Turn business requirements into practical technical data solutions.
  • Create pipelines with Dataflow, Dataform, Pub/Sub, Cloud Storage, and BigQuery.
  • Manage workflow orchestration through Cloud Composer and Airflow.
  • Handle data modeling, testing, governance, security, and observability.
  • Lead delivery from initial development through deployment and solution documentation.
  • Work with technical, business, and international stakeholder teams.

Requirements

  • Advanced English proficiency for communication with teams based outside Brazil.
  • Availability to work EST (Eastern Standard Time) hours.
  • Production experience in data engineering with GCP.
  • Hands-on experience with Dataflow, Dataform, Pub/Sub, Cloud Storage, and BigQuery.
  • Advanced BigQuery expertise, including partitioning, clustering, performance tuning, and cost optimization.
  • Experience orchestrating pipelines with Cloud Composer or Airflow.
  • Knowledge of data modeling, data warehousing, Star Schema, Snowflake Schema, SCD, and Medallion Architecture.
  • Experience with Python, Git, code review, Docker, and CI/CD, preferably Cloud Build.
  • Knowledge of GCP data governance, security, and observability, including Dataplex, IAM, and PII protection.
  • Experience with automated testing, preferably pytest, and data quality practices.
  • Google Professional Data Engineer certification is a plus.
  • Knowledge of BigLake, Apache Iceberg, and data lakehouse architectures is a plus.
  • Experience with Data Mesh and data products is a plus.
  • Knowledge of SAP ECC, BW, or S/4HANA is a plus.
  • Knowledge of data contracts, schema evolution, and observability is a plus.
  • Experience with generative AI and Vertex AI is a plus.
  • Experience providing knowledge transfer and technical training is a plus.
  • Strong communication skills with technical and non-technical audiences.
  • Ability to convert business needs into technical solutions.
  • Collaborative approach to working across departments and teams.
  • Strong organization skills for documentation, delivery tracking, and deployment.
  • Ability to work internationally while using English daily.

Benefits

  • Access to learning incentive programs, including Udemy.
  • Affordable corporate English classes.

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