# Data Engineer (PySpark & Data Modeling)

**Company:** [GSSTech Group](http://jobs.workable.com/companies/cu9XaZB8i9r9X8CdwN62f7.md)
**Location:** Dubai, United Arab Emirates
**Workplace:** on site

[Apply for this job](http://jobs.workable.com/view/c1b5f84c-dfea-427d-868e-aa936ad95a9f)

## Description

We are looking for a skilled **Data Engineer** with strong expertise in **PySpark and Data Modeling** to join our Data & Analytics team. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and supporting advanced analytics initiatives.

### **Key Responsibilities**

-   Design, develop, and maintain scalable **data pipelines using PySpark**
-   Perform **data modeling** (conceptual, logical, and physical) for analytics and reporting
-   Build and optimize **ETL/ELT workflows** for large-scale datasets
-   Work with structured and unstructured data across multiple sources
-   Ensure data quality, integrity, and governance standards
-   Collaborate with data analysts, scientists, and business stakeholders
-   Optimize performance of Spark jobs and data processing systems
-   Support deployment and monitoring of data solutions in production

### **Required Skills & Qualifications**

-   Strong experience in **PySpark and Apache Spark ecosystem**
-   Hands-on experience in **data modeling (Star Schema, Snowflake, etc.)**
-   Proficiency in **SQL and database technologies**
-   Experience with **data warehousing concepts**
-   Knowledge of **ETL/ELT tools and frameworks**
-   Familiarity with **cloud platforms (AWS / Azure / GCP)** is a plus
-   Understanding of **big data technologies (Hadoop, Hive, Kafka, etc.)**
-   Strong problem-solving and analytical skills

### **Preferred Qualifications**

-   Experience in **banking/financial services domain**
-   Exposure to **data governance and data quality frameworks**
-   Knowledge of **CI/CD pipelines and DevOps practices**