Cloud Data Engineer
Summary
Design and maintain cloud-based data pipelines and analytics platforms, building scalable ETL processes and data lakes for large datasets.
Job Description:
- Design, build, deploy, and maintain end-to-end data projects across big data and cloud platforms.
- Develop scalable and reliable ETL processes for ingesting and integrating large volumes of structured and unstructured data from on-premise and cloud sources
- Build and manage enterprise data systems including data lakes, analytics platforms, and AI platforms
- Degree in Computer Science, Data Science, Statistics, Economics, or a related discipline with strong quantitative content
- Must have 3 years of hands‑on experience in Data Engineering, Data Analytics, etc.
- Proficiency in programming languages such as Python, R, Java, Data Model, Qlik Sense, Qlik View, Qlik Cloud Automations, SAS for data science and data processing applications
- Strong knowledge of cloud platforms and big data technologies
- Demonstrable experience with Data/ML techniques - data mining, data engineering, machine learning, natural language processing, or similar
- Experience with Generative AI technologies is a plus
- Qlik Sense
- Qlik View
- Qlik CloudAutomations
- QMC
- Qlik Cloud
- NPrinting & Tabular Reporting
- ETL
- Agile Methodology
- Data Cleaning & Transformations
- Data Modelling & Visualization
- Java
- Python