Caixa Mágica Software
Skills: Python, Java, SQL, Accessibility
Overview: We are looking for a Senior Data Engineer to support the Data Hub Chapter of an enterprise client. You will be responsible for the analysis, design, implementation, testing and maintenance of Data Warehouse and Data Platform solutions, focusing on data ingestion, integration, transformation and quality. The role calls for strong expertise in Big Data technologies, ETL development and Data Warehouse environments, and involves working closely with business and technical teams to deliver reliable, scalable and high-performing data-driven solutions.
What will you do?
Analyze, plan, implement and technically test Data Warehouse solutions and data platform initiatives; Develop and maintain raw data ingestion pipelines for Data Lake and related environments; Ensure data accessibility, referencing, governance and quality across enterprise platforms; Design and implement ETL processes and data integration solutions; Collaborate with Business Areas and Functional Teams to gather requirements and define technical solutions; Participate in certification, quality assurance and User Acceptance Testing (UAT) activities; Document technical analyses, implemented solutions, testing activities and project decisions; Ensure industrialization, supervision and production integration of data solutions; Propose improvements and optimizations to data platforms, tools and processes; Contribute to Agile project delivery and continuous improvement initiatives.
What are we looking for?
Bachelor's or Master's Degree in Computer Engineering, Information Technology or a related field; More than 6 years of experience in Data Engineering and Data Warehouse environments; Minimum 4 years of experience in functional and technical analysis and corporate data model design; Strong expertise in Big Data ecosystems and enterprise data integration solutions; Experience with SQL and T-SQL development; Experience with SQL Server Analysis Services (SSAS); Experience with Microsoft BI tools and Power BI; E…
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