Engenheiro de Dados Sênior

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

📋 Description

• Develop and maintain scalable data pipelines in multicloud environments (AWS, Azure, and GCP);

• Engage in the construction and evolution of modern data architectures, including Data Lakes and analytical environments;

• Implement processes for data ingestion, transformation, and availability utilizing ETL/ELT;

• Create automations and orchestrations for pipelines using modern tools and frameworks;

• Work with large volumes of both structured and unstructured data;

• Ensure data quality, governance, and security in accordance with best practices and corporate guidelines;

• Contribute to the implementation of policies related to LGPD, data anonymization, and protection;

• Support analytical and business teams in providing strategic information;

• Participate in data modeling and optimization of query and pipeline performance;

• Assist in the development of dashboards and analytical solutions focused on decision-making;

• Collaborate with architects, data scientists, analysts, and engineering teams.

⛳️ Requirements

• Solid experience as a Data Engineer in corporate projects;

• Practical experience in multicloud environments: AWS, Azure, and GCP;

• Experience in developing ETL/ELT pipelines;

• Proficiency in Python and SQL;

• Experience with PySpark for distributed processing;

• Familiarity with workflow orchestration using Apache Airflow;

• Knowledge of serverless services and cloud automations, such as Cloud Functions;

• Experience in building and maintaining Data Lakes;

• Understanding of data modeling and analytical architecture;

• Experience with data governance, quality, and security;

• Practical knowledge of LGPD, data anonymization, and handling sensitive data;

• Experience with Git and good versioning practices;

• Postgraduate degree or specialization in Big Data, Data Engineering, or related fields;

• Experience with visualization tools such as Power BI and Tableau;

• Knowledge of DataOps and CI/CD for data;

• Experience with streaming platforms and real-time processing;

• Familiarity with Databricks, Snowflake, or BigQuery;

• Cloud certifications (AWS, Azure, or Google Cloud);

• Understanding of event-driven architecture and data microservices.

🏝️ Benefits

• Position also available for individuals with disabilities (PcD).