Data Engineer

Summary

Designs, builds, and maintains end-to-end data projects and ETL processes on big data/cloud platforms. Uses Python, Java, and Qlik tools for data lakes, analytics, and AI platforms.

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

See also

Data Engineering jobs by country — openings, pay and top skills →

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