Senior SQL Data Engineer
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Job Description
Senior SQL Data Engineer designing and implementing cloud data architectures at Compass UOL. Collaborating with teams to optimize data processes and deliver strategic insights.
Responsibilities:
- Design and implement cloud data architectures, ensuring scalability, security, and high performance;
- Develop, optimize, and monitor data pipelines (ETL/ELT), ensuring efficiency and reliability;
- Build and maintain Data Warehouse and/or Data Lake environments, ensuring data quality, integrity, and governance;
- Optimize data models and SQL queries for continuous performance improvement;
- Create dashboards and executive reports, turning data into strategic insights to support decision-making;
- Automate data ingestion, transformation, and delivery processes;
- Collaborate with cross-functional teams, applying best practices for version control, documentation, and secure development;
- Contribute to the advancement of a data-driven culture and the continuous improvement of implemented solutions.
Requirements:
- Python;
- Cloud (preferably AWS stack);
- SQL;
- Visualization tools such as Power BI, Tableau, Google Data Studio, and others;
- Spark;
- ETL tools (Extract, Transform, Load).
- Preferred:
- Kubernetes;
- Monitoring tools (Grafana, New Relic, Datadog, and others);
- Databricks;
- Docker;
- Kafka;
- API development;
- Elasticsearch.
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