Data Engineer
Summary
Designs, builds, and maintains scalable ETL pipelines and data platforms (lakes, analytics, AI) using Python, Java, and cloud/big-data tech to process structured and unstructured data.
Roles & Responsibilities
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 2 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 Tell employers what skills you have Machine Learning Design R Programming ETL Tools Natural Language Processing Quantitative Analysis Economics Data Mining Python Cloud-Based Platform Generative AI Data Science Java Sas Intelligence Platform Enterprise Database System Administration data integration projects
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 2 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 Tell employers what skills you have Machine Learning Design R Programming ETL Tools Natural Language Processing Quantitative Analysis Economics Data Mining Python Cloud-Based Platform Generative AI Data Science Java Sas Intelligence Platform Enterprise Database System Administration data integration projects