Senior Data Engineer
J
JobgetherSecurity & IT
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLData AnalysisData engineeringPandas
Requirements
- Advanced knowledge of Python for data analysis and data processing.
- Experience with data analysis libraries such as Pandas, regression libraries, and statistical analysis tools.
- Strong SQL skills and experience manipulating, consolidating, and preparing data for analytical consumption.
- Experience consuming and integrating data through APIs from monitoring and configuration management platforms.
- Knowledge of Capacity Planning concepts, including utilization, saturation, and rightsizing.
- Experience developing solutions for data preparation, processing, and availability.
- Ability to analyze large volumes of information and identify patterns, trends, and optimization opportunities.
- Strong analytical mindset, attention to detail, and focus on data quality and reliability.
- Ability to collaborate with multidisciplinary teams and communicate technical concepts clearly.
Responsibilities
- Develop data models and analytical solutions to support capacity planning, observability, and artificial intelligence initiatives.
- Implement trend projections using historical time-series analysis and regression models to estimate resource saturation scenarios.
- Collect, process, consolidate, and prepare operational metrics for consumption through dashboards and analytical platforms.
- Correlate performance data with criticality, services, and environment information to support prioritization and decision-making.
- Automate rightsizing analysis processes by identifying over-provisioned and under-provisioned resources based on historical usage patterns.
- Structure RCA (Root Cause Analysis) and PIR (Post Incident Review) information in JSON format for indexing and AI agent consumption.
- Integrate and process data from APIs and external systems, ensuring accuracy and reliability.
- Provide treated and structured data for BI analysts and AI-based platforms.
- Ensure data quality, consistency, governance, and traceability across all solutions developed.
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