Engenheiro de Dados Pleno

BrazilFull-TimeMiddle

Salary not disclosed

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Job Details

Required Skills: AWSPythonSQLAgileGCPAirflowAzureData engineeringSparkScalaData modelingR

Solid experience in Data Engineering, including development and maintenance of data pipelines (ETL/ELT).
Strong knowledge of data modeling techniques, including dimensional modeling and data warehouse concepts.
Proficiency in programming languages for data processing such as Python, R, or Scala.
Strong experience with SQL and relational databases.
Hands-on experience with cloud data platforms (GCP, AWS, or Azure).
Knowledge of data architecture, distributed processing, and big data environments.
Familiarity with data orchestration and processing tools such as Spark and Airflow (nice to have).
Understanding of data governance, data quality, and analytics infrastructure.
Experience working in Agile environments and cross-functional teams.
Ability to work independently with strong ownership and problem-solving mindset.

Design, develop, and maintain scalable data pipelines for ingestion, processing, and transformation of large and complex datasets.
Build and optimize ETL/ELT processes to integrate multiple structured and unstructured data sources.
Support data modeling initiatives and ensure data is structured to support analytics, BI, and data science use cases.
Work with cloud-based data architectures, ensuring performance, scalability, and reliability of data systems.
Implement and maintain data infrastructure components, including storage, processing, and orchestration layers.
Collaborate with data science, analytics, and business teams to enable data-driven decision-making.
Ensure data governance, quality, and security practices are applied across all data workflows.
Participate in agile development processes, contributing to continuous improvement and technical evolution of data platforms.

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