Hiring: Data Engineer
Summary
Designs and builds scalable ETL pipelines and data platforms (lakes, analytics, AI) in Python/Java, integrating cloud and on-prem data for analytics and ML workloads.
Roles & Responsibilities
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 LearningDesign
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