Engenheiro de Dados Pleno
J
JobgetherData Engineering
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLETLGCPGitAzure
Requirements
- Professional experience with ETL/ELT processes, including data collection, transformation, and loading workflows.
- Experience working with cloud and on-premise data architectures, particularly Azure and/or Google Cloud environments.
- Knowledge of data pipeline monitoring, optimisation, and troubleshooting.
- Experience implementing data quality, validation, and integrity strategies.
- Experience building and managing Data Lakes and Data Warehouses.
- Strong programming skills in Python and advanced SQL.
- Experience with relational and non-relational databases such as SQL Server, PostgreSQL, MongoDB, or similar technologies.
- Knowledge of data platforms and tools such as Azure Data Factory, Synapse, Databricks, Fabric, or equivalent solutions.
- Experience with Git-based version control workflows.
- Understanding of DataOps concepts, data governance, and best practices.
- Ability to create structured and clear technical documentation.
Responsibilities
- Develop data pipelines for data ingestion, transformation, processing, and delivery at scale.
- Work with modern data architectures, including Lakehouse, Data Mesh, and Medallion approaches.
- Ensure data quality, traceability, versioning, validation, and secure reprocessing processes.
- Support the implementation of DataOps practices, monitoring strategies, and data observability solutions.
- Build solutions focused on performance, governance, reliability, and security.
- Collaborate with architects, data scientists, and analysts to design effective data solutions.
- Participate in technical discussions with clients, recommending best practices and efficient approaches.
- Create and maintain clear technical documentation for data processes and architectures.
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