Senior Data Engineer
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Job Description
Data Engineer at Grupo SysMap focused on data modeling and pipeline development for multiple cloud environments. Analyzing business processes and ensuring data integrity with best practices.
Responsibilities:
- Analyze business area requests, understanding processes and end-to-end data flows;
- Participate in defining the technical solution and the architecture for data ingestion, transformation and consumption;
- Design, evolve and maintain dimensional and analytical data models in the Data Warehouse and Data Lake;
- Develop and maintain data pipelines in on-premise and cloud environments (ODI, AWS, Fabric);
- Ensure data quality, reliability, integrity, performance, governance and traceability;
- Work on integration between Teradata environments and cloud platforms;
- Support BI and Analytics teams in making data available for analytical consumption;
- Promote best practices, standardization, continuous improvement of the platform and provide technical support to less experienced teams.
Requirements:
- Analytical mindset, systemic data vision and a strong sense of autonomy and responsibility;
- Proficiency in relational and dimensional data modeling;
- Excellent SQL skills with a focus on performance and optimization;
- Experience with cloud environments, especially Azure/Microsoft Fabric and AWS;
- Experience developing pipelines using Python and handling semi-structured data;
- Experience ingesting and organizing data in multi-layered Data Lake architectures;
- Knowledge of infrastructure as code (Terraform);
- Knowledge of Power BI with a focus on semantic modeling and performance;
- Experience with orchestration and versioning of pipelines, DataOps practices and CI/CD;
- Familiarity with monitoring, observability and cloud cost management;
- Advantageous: experience with ODI and Teradata, governance tools, GCP and modern Lakehouse architectures.
Benefits:
- Position also open to candidates with disabilities (PwD).
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