Data Engineer, Mid-Level/Senior

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Collect and specify requirements for tailored data connectors.

• Work alongside Business Analysts and Data Architects to pinpoint data sources that need custom development.

• Create bespoke connectors utilizing native services from Google Cloud Platform.

• Execute data integration procedures with a focus on dependability, scalability, and observability.

• Set up mechanisms for handling failures, logic for reprocessing, and error-recovery queues.

• Validate connectors using both sample and synthetic datasets.

• Document the behavior, configurations, and dependencies associated with developed connectors.

• Guarantee the quality of integrations and ensure they adhere to data architecture and governance standards.

• Assist in knowledge transfer and transition of solutions to teams responsible for the maintenance and enhancement of the environment.

• Participate in data integration, modeling, and management efforts across the organization’s analytics ecosystem.

⛳️ Requirements

• Proficient with Google Cloud Platform (GCP).

• Familiarity with Big Data within the Google Cloud environment.

• Experience with both relational and non-relational databases.

• Background in data integration, ETL, and processing pipelines.

• Experienced with Dataflow, Cloud Functions, and Cloud Run.

• Knowledgeable in data analysis and modeling techniques.

• Understanding of data governance principles.

• Experience in data management and quality assurance.

• Capability to document technical solutions and integration methodologies.

• Proven experience in developing and testing custom data connectors.

• Preferred: experience with digital transformation initiatives in the industrial or manufacturing domains.

• Preferred: familiarity with analytics platforms such as Looker.

• Preferred: knowledge of data-centric architectures and AI-enabled platforms.

• Preferred: experience in settings with strict security and compliance standards.

• Preferred: understanding of observability, monitoring, and practices for data pipeline resilience.

• Preferred: experience in migrating connectors and integrating various data sources.

🏝️ Benefits

• Multi-benefit card – choose how and where to utilize it.

• Education grants for undergraduate, graduate, MBA, and language courses.

• Incentives for certification programs.

• Flexible work hours.

• Competitive salary packages.

• Annual performance evaluations with a structured career development plan.

• Opportunities for international career advancement.

• Access to Wellhub and TotalPass.

• Private pension scheme.

• Childcare support.

• Health insurance coverage.

• Dental insurance options.

• Life insurance benefits.