Data Engineer

Job not on LinkedIn

🕒 April 25

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Runtalent

Runtalent

501 - 1000 employees

Founded 2003

🤝 B2B

👥 HR Tech

☁️ SaaS

B2B • HR Tech • SaaS

Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.

📋 Description

• This is a remote position. • The Data Engineer works end-to-end, creating dashboards and is responsible for integrating data, applying business rules, and developing effective visualizations. • Must be proficient in Qlik Script, DAX, and functions in both Qlik Sense and Power BI, data modeling, SQL queries, and building interactive dashboards. • Collaborate with business teams to understand project requirements and objectives. • Design and develop data pipelines to collect, integrate, and transform data from multiple sources. • Create dimensional and relational data models to support complex analyses. • Develop and maintain reports and dashboards using BI tools such as Qlik Sense. • Perform integration testing and data validation to ensure the accuracy and consistency of information. • Optimize queries and ETL processes to improve system performance and efficiency. • Provide technical support to end users to ensure effective adoption of BI solutions. • Monitor data integrity and security, implementing data governance best practices.

🎯 Requirements

• Knowledge of ERP systems (Datasul, SAP, and GATEC). • Proficiency in SQL query languages and in one or more BI platforms (Qlik Sense, Power BI). • Strong knowledge of dimensional and relational data modeling. • Familiarity with ETL processes and associated tools such as Microsoft Azure, Synapse Analytics, and Data Factory. • Experience in cloud computing environments such as Azure. • Knowledge of programming languages like Python for data analysis. • Familiarity with data visualization techniques and UX/UI design. • Knowledge of Power Apps and Power Automate.

🏖️ Benefits

• Remote work

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