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Data Engineer I – Digital and IT Governance
Unimed GoiâniaSupport secure data distribution and big data architecture for analytics. Build data pipelines and monitor data processes under supervision.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis programming languages, ETL processes, and data modeling to support the development and maintenance of data architectures. Proficient in deploying machine learning and statistical methods while ensuring data reliability and compliance with corporate policies.
Highest-signal resume keywords
Data Analysis Programming LanguagesETLData ModelingDatabase ArchitectureBig Data
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonRJavaSQLMongoDBScalaHadoopSparkData WarehouseData Processing Architectures
Tools & Technologies
Oracle DatabasesAPIs
Industry Keywords
Data AnalysisData CollectionData StorageData DistributionPredictive ModelingPrescriptive ModelingProcess ImprovementWorkplace Safety Standards
Tech Stack
Tools & technologiesETLHadoopJavaMongoDBOraclePythonScalaSparkSQL
About the role
Key responsibilities & impact- Support making data available for analysis in a secure manner
- Assist in building large repositories for Big Data
- Develop, test and maintain architectures such as databases and large-scale data processing systems
- Enable Data Analysts to apply analytical techniques and extract relevant insights
- Perform data collection, storage and distribution processes of low complexity
- Design lower-complexity solutions based on databases
- Create and define lower-complexity data pipelines
- Implement agile methodologies and use technologies to improve decision-making, under direct supervision
- Prepare data for predictive and prescriptive modeling, under direct supervision
- Monitor and process variables rapidly, under direct supervision
- Deploy analytical programs, machine learning and statistical methods of lower complexity
- Identify ways to improve data reliability, efficiency and quality, under direct supervision
- Search for hidden patterns using data
- Identify and define new process improvement opportunities, under direct supervision
- Care for equipment, resources and materials under your responsibility and maintain the work environment
- Comply with rules, procedures, internal regulations, corporate policies and workplace safety standards
Requirements
What you’ll need- Required knowledge: data analysis programming languages; ETL; data modeling; Data Warehouse; principles and patterns of data processing architectures; database architecture; Oracle databases; integrations (APIs); Python; R; Java; SQL; Big Data; MongoDB; Scala; Hadoop; Spark
- Required education: Completed higher education (Bachelor's degree)
- Required field of study: Computer Science, Systems Analysis or related areas
- Preferred education: (not specified)
- Preferred field of study: (not specified)
Benefits
Comp & perks- Meal and food allowance: R$ 1,400.74
- Health plan (Unimed) and dental plan (Unimed)
- Educational incentives
- Transportation voucher
- Health and quality of life initiatives
- Unimed University
- Wellhub (wellness benefit)
- Structured career plan
- Employee Association benefits
- Individual Development Plan (PDI)
- Breakfast or snack