Senior Data Engineer (Python - Azure - AI)
Salário Estimado
R$ 15.015,00 - R$ 22.523,00
Descrição da Vaga
Employer Industry: Software Development Why consider this job opportunity: - Competitive compensation based on experience - Opportunity for career advancement and extensive growth within the company - Work remotely, allowing for a flexible work-life balance - Engage in international projects with premier clients from the United States and Europe - Access to professional development programs, including the Oowlish English Program - Participate in fun activities such as games and competitions What to Expect (Job Responsibilities): - Design, implement, and optimize ETL processes to improve data flow and operational efficiency - Monitor and maintain ETL workflows to ensure reliability, consistency, and performance - Develop scalable data pipelines using Python with strong Object-Oriented Programming (OOP) principles - Work with relational databases (Microsoft SQL Server, Oracle) to design and optimize queries and schemas - Collaborate with cross-functional teams to translate business requirements into scalable data solutions What is Required (Qualifications): - Minimum of 4 years of professional experience as a Data Engineer - Strong expertise in Python with solid Object-Oriented Programming (OOP) application - Proven experience implementing and optimizing ETL processes - Solid knowledge of relational databases (Microsoft SQL Server, Oracle) - Experience working with Azure Storage solutions How to Stand Out (Preferred Qualifications): - Experience preparing datasets for AI or machine learning workflows - Familiarity with cloud-based data architectures in Azure environments - Exposure to data governance, data quality frameworks, or monitoring tools - Experience working in multidisciplinary or distributed teams - Interest in AI-powered data ecosystems #SoftwareDevelopment #DataEngineering #RemoteWork #CareerGrowth #CompetitiveCompensation "We prioritize candidate privacy and champion equal-opportunity employment.
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Requisitos
- Minimum of 4 years of professional experience as a Data Engineer
- Strong expertise in Python with solid Object-Oriented Programming (OOP) application
- Proven experience implementing and optimizing ETL processes
- Solid knowledge of relational databases (Microsoft SQL Server, Oracle)
- Experience working with Azure Storage solutions
Responsabilidades
- Design, implement, and optimize ETL processes to improve data flow and operational efficiency
- Monitor and maintain ETL workflows to ensure reliability, consistency, and performance
- Develop scalable data pipelines using Python with strong Object-Oriented Programming (OOP) principles
- Work with relational databases (Microsoft SQL Server, Oracle) to design and optimize queries and schemas
- Collaborate with cross-functional teams to translate business requirements into scalable data solutions
Benefícios
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