Data Engineer
1 dia atrás
Introduction & Summary:
We are seeking a Data Engineer who has experience building, optimizing, and maintaining data pipelines (ETL/ELT), as well as strong knowledge of technologies such as Spark, SQL, and Python. This role is fundamental to ensuring the reliability, security, and efficiency of data handling processes, with a focus on innovation and continuous system evolution.
Main Responsibilities:
- The Data Engineer will be responsible for technical and data architecture;
- Building, optimizing, and maintaining data pipelines;
- Defining pipeline architecture and governance standards;
- Coordinating the technical deployment of pipelines;
- Ensuring technical execution, performance, and code reliability;
- Balancing technical and product vision, acting as a bridge between stakeholders;
- Implementing data tests and validations, handling errors and corrupted data;
- Automating and monitoring processes for continuous improvement;
- Evaluating and proposing new architectural approaches;
- Stimulating innovation and promoting new solutions.
Key Requirements:
- Experience in building and maintaining data pipelines (ETL/ELT);
- Proficiency in Spark, SQL, and Python;
- Knowledge of Delta Lake and data architecture;
- Experience with Azure Fabric;
- Ability to implement tests and ensure data quality;
- Ability to define and follow security standards and access policies.
Nice to Have:
- Experience with tools for data automation and monitoring.
- Knowledge of big data frameworks.
- Skills in data analysis and visualization.
- Experience in promoting Proof of Concepts (POCs) and the adoption of new technologies.
Other Details:
This is a hybrid working model job, long-term position.
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