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Tech Stack
Tools & technologiesAzureERPETLPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Remote work 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
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Hard Skills & Tools
Qlik ScriptDAXSQLdata modelingETLPythondata visualizationdimensional data modelingrelational data modelingcloud computing
Soft Skills
collaborationcommunicationtechnical supportproblem-solving
