Senior Engenheiro de Dados

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

📋 Description

• Conduct analyses in collaboration with requesting areas:

• o Understand business processes

• o Map end-to-end data flows

• Participate in defining the technical solution:

• o Architecture for data ingestion, transformation, and consumption

• o Selection of the most suitable technologies

• Design and evolve data models:

• o Dimensional and analytical structures

• o Data layers (DW and Data Lake)

• Develop and maintain data pipelines:

• o ODI (Teradata)

• o AWS (Glue, Lambda)

• o Fabric (modern pipelines)

• Ensure:

• o Quality, reliability, and integrity of the data

• o Performance and process optimization

• o Governance and traceability (lineage)

• Act on the integration between environments:

• o On-premise (Teradata) and Cloud (AWS / Fabric / GCP)

• Support BI and Analytics teams:

• o Data availability for consumption (Power BI, semantic models)

• Contribute to best practices and the evolution of the data platform:

• o Standardization

• o Continuous improvement

• o Technical support for less experienced teams

⛳️ Requirements

• Analytical profile with a systemic (end-to-end) view of data

• Sense of ownership, autonomy, and responsibility in execution

• Mastery of:

• o Data Modeling (relational and dimensional)

• o SQL (performance, tuning, and query optimization)

• Experience with cloud environments:

• o Azure / Microsoft Fabric (Lakehouse, Warehouse, Semantic Model)

• o AWS (Glue, Lambda, S3)

• Development of pipelines using:

• o Python

• o Data manipulation in JSON and semi-structured formats

• Experience with data ingestion and organization in Data Lakes:

• o Layers: Landing Zone / Raw / Trusted

• Knowledge of infrastructure as code: Terraform

• Familiarity with Power BI (semantic modeling and performance)

• Desirable:

• o Solid experience with ODI for building loading processes in Teradata:

• o Layers: Stage, Relational, Dimensional and Views

• o Experience with Purview (governance, catalog, and lineage)

• o Knowledge of GCP (BigQuery, Dataflow, or similar)

• Experience with modern architectures:

• o Lakehouse (Delta, Parquet, Iceberg)

• Experience with:

• o Pipeline orchestration (Airflow, Glue Workflows, Fabric Pipelines)

• o Version control (Git)

• o DataOps / CI-CD practices

• Knowledge in:

• o Monitoring and observability of pipelines

• o FinOps (cloud cost management)

🏝️ Benefits

• Remote work