Continuously monitor batch, streaming and on-demand data pipelines to ensure availability and data quality.
Identify, analyze and resolve operational incidents and critical failures in data environments.
Perform advanced troubleshooting by analyzing logs, metrics and alerts on GCP platforms.
Monitor and support data workflows, including DAGs, reprocessing, dependencies, and load validations.
Track execution of processes in Dataproc, Spark, BigQuery and other components of the data architecture.
Collaborate with Data Engineering, Architecture, Governance and Business teams to resolve issues and drive continuous improvements.
Contribute to the stability, reliability and evolution of data environments.
Prepare and maintain incident documentation, root cause analyses (RCA), operational procedures and action plans.
Participate in automation, observability and operational process optimization initiatives.

Proven experience with Google Cloud Platform (GCP);
Strong expertise in BigQuery, including data modeling, performance optimization and cost control;
Experience with Dataproc / Apache Spark;
Experience working with batch data pipelines, including monitoring and reprocessing;
Ability to analyze logs, identify and handle failures in data pipelines;
Knowledge of IAM (Identity and Access Management) and permission management on GCP;
Experience in regulated, critical or high-availability environments;
Knowledge of Continuous Query, with a focus on continuous data processing and incremental updates (streaming or near real-time);
Experience with Pub/Sub, including integration, monitoring and operation of event-driven and messaging pipelines;
Knowledge of Cloud SQL (MySQL) for operation, support and data analysis in managed relational databases;
Experience with Cloud Functions, supporting and maintaining event-driven serverless functions;
Experience with Cloud Run, including operation and monitoring of containerized applications in serverless environments;
Experience with Cloud Composer (Apache Airflow), monitoring, analyzing and supporting DAGs, including failures, reprocessing and dependencies;
Knowledge of MongoDB, with a focus on queries, data analysis and support for NoSQL databases;
Practical experience with agile methodologies (Scrum, Kanban or similar).

Remote work – Monday to Friday (09:00–18:00);
Home-office allowance – Meal/food credit on an iFood card of R$ 300.00 per month;
Birthday – On your special day, Rox gives you a gift card and a day off to celebrate;
Courses – Full access to RoxSchool, Alura, Pluralsight and O'Reilly (books and talks);
Certifications – Certification reimbursement up to R$ 300.00 (TECHNOLOGY) plus a R$ 300.00 bonus per certification achieved from these brands;
Mental health support – Two psychotherapy sessions per month covered by ROX with partner psychologists;
WellHub (Gympass) – Partnership with gyms and health & wellness apps;
Company-provided work equipment.

Senior Data Engineer – DBT

Key skills