Aws Data Engineer

Aws Data Engineer - Detalhes da Vaga. ● ?? Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. ● This will significantly increase your chances of success. ● __________________________________________________________________________ Build Scalable Cloud Data Platforms on AWS We are looking for an experienced AWS Data Engineer to design, develop, and optimize cloud-native data platforms that support enterprise analytics and business intelligence initiatives. ● In this role, you will build scalable ETL pipelines, optimize distributed data processing, and collaborate with Data Engineers, Data Scientists, and business stakeholders to deliver reliable, high-performance data solutions on AWS. ● If you are passionate about cloud data engineering and modern data architectures, this opportunity is for you. ● The Professional We Are Looking For We are seeking a highly technical Data Engineer with solid expertise in AWS data services and modern data engineering practices. ● The ideal candidate has hands-on experience with AWS Glue, Apache Spark, Amazon Redshift, Python or Scala, and data warehousing concepts. ● You should be comfortable designing scalable cloud solutions, solving complex data challenges, and collaborating with international teams. ● Key Responsibilities You will be responsible for: Designing, developing, and implementing AWS data solutions using AWS Glue, Apache Spark, and Amazon Redshift. ● Collaborating with Data Engineers and Data Scientists to understand business requirements and translate them into scalable data pipelines. ● Building and managing ETL processes using AWS Glue to extract, transform, and load data from multiple sources. ● Optimizing distributed data processing workflows using Apache Spark to ensure efficient data processing and analysis. ● Developing and maintaining data models and schemas within Amazon Redshift to support reporting and analytics. ● Monitoring, troubleshooting, and optimizing data pipelines to ensure data quality, reliability, and integrity. ● Documenting data processes, architecture, and engineering best practices to support knowledge sharing and compliance. ● Mandatory Requirements (Eliminatory) ?? All requirements below are mandatory and eliminatory. ● Candidates who cannot clearly demonstrate these qualifications in their CV are unlikely to proceed in the recruitment process. ● Education ? Bachelor''s Degree in: Information Systems Computer Science Data Engineering or a related field Mandatory Experience English C2 (Advanced/Fluent) with the ability to communicate confidently in international environments. ● Proven experience developing AWS cloud data solutions. ● Strong hands-on experience with: AWS Glue Apache Spark Amazon Redshift AWS Glue Apache Spark Amazon Redshift Strong programming skills using Python or Scala. ● Solid understanding of Data Warehousing concepts and best practices. ● Strong knowledge of SQL. ● Experience with database management systems Experience designing and implementing ETL pipelines. ● Strong analytical thinking and problem-solving skills. ● Nice-to-Have Skills The following qualifications will be considered a strong advantage: Experience with enterprise-scale cloud data platforms. ● Experience working with international teams. ● What You''ll Find in This Opportunity Enterprise-scale AWS cloud projects. ● Modern Data Engineering environment. ● Collaboration with Data Engineers and Data Scientists. ● Exposure to large-scale distributed data processing. ● Opportunities to design scalable cloud-native data architectures. ● International, collaborative, and innovation-driven environment. ● Before Applying, Ask Yourself These 5 Questions ? Do I have a solid understanding of Data Warehousing concepts and experience working with database management systems? ? Does my CV clearly demonstrate experience designing cloud data solutions and building scalable ETL pipelines? ? Am I proficient in Python or Scala, as well as advanced SQL for Data Engineering projects? ? Do I have a solid understanding of Data Warehousing concepts and experience working with relational databases? ? Am I fluent in English (C2) and comfortable collaborating with international teams and stakeholders? If you answered "No" to one or more of these questions, we recommend carefully reviewing your fit before applying. ● ?? Important This position is intended for an AWS Data Engineer with strong hands-on experience building cloud-native data platforms. ● Candidates whose experience is primarily focused on Business Intelligence, Reporting, Data Analysis, or Software Development, without significant practical experience with AWS Glue, Apache Spark, Amazon Redshift, ETL pipelines, and cloud data engineering, are unlikely to match the expectations for this role. ● Keywords That Should Appear in Your CV #EY BR . Requisitos para participar do processo. ● . O que oferecemos.