Senior Data Engineer, AWS – Supabase
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Amazon RedshiftAWSAzureETLGoogle Cloud PlatformSQL
Senior Data Engineer
Globalweb Corp
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇷 Brazil
Visit company websiteJob Level
Senior
Tech Stack
AzureCloudETLNumpyPandasPython
About the role
- Apply statistical and probabilistic knowledge in the development of analytical models and solutions.
- Use analytics tools to develop analytical models and solutions, perform data analysis, and create dashboards.
- Define and develop/optimize models for predictive analytics.
- Ability to prepare data presentations, with a strong command of data storytelling concepts.
Requirements
- Bachelor's degree in Statistics, Economics, Actuarial Science, Mathematics, Engineering, Computer Science, or related fields.
- Data Engineer with solid experience in Python development.
- Basic knowledge of Microsoft Azure cloud services and Power BI is desirable.
- Programming languages: Python, pandas, NumPy.
- Data processing: ETL (Extract, Transform, Load) for developing data pipelines.
- Visualization tools: Power BI.
- Databases: Microsoft SQL Server (MSSQL).
- Security and governance: Implement data security and governance policies within Power BI.
- Proactivity, adaptability, communication, and problem-solving skills.
Benefits
- Health insurance
- Dental insurance
- Prudential insurance: employees are provided, at no cost, with life insurance, funeral assistance, and a newborn basket, according to the insurer's specific rules.
- Meal voucher or food allowance.
- Transportation voucher: provided for commute between home and work; 6% of the salary will be deducted monthly, limited to the value of the benefit (optional).
- Day off: employees receive a day off for their birthday, to be taken on the birthday itself or during the birthday month.
- Payroll-deductible loans.
- Partnerships and discounts (educational institutions, gyms, language courses, etc.).
- Workplace exercise program.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical knowledgeprobabilistic knowledgeanalytical modelsdata analysispredictive analyticsPythonpandasNumPyETLdata pipelines
Soft skills
data storytellingcommunicationproblem-solvingproactivityadaptability
