Cloud Data Engineer
Summary
Designs and maintains cloud-based data pipelines and analytics platforms, building scalable ETL processes and data lakes to process large datasets using Python, Java, and Qlik tools.
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
Requirements:
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
Key Skills:
Qlik Sense | Qlik View | Qlik CloudAutomations | QMC | Qlik Cloud | NPrinting & Tabular Reporting | ETL |Agile Methodology | Data Cleaning & Transformations | Data Modelling &Visualization | Java | Python
Qlik Sense | Qlik View | Qlik CloudAutomations | QMC | Qlik Cloud | NPrinting & Tabular Reporting | ETL |Agile Methodology | Data Cleaning & Transformations | Data Modelling &Visualization | Java | Python