# Data Engineer (Python) - Immediate Joining (3 Months)

**Company:** [Müller`s Solutions](http://jobs.workable.com/companies/gm11uMvT8uVyoZ4ML8WEiM.md)
**Location:** Dhahran, Saudi Arabia
**Workplace:** on site

[Apply for this job](http://jobs.workable.com/view/729e7bc1-75d7-4398-9731-bc0e656808dd)

## Description

Muller's Solutions is seeking an experienced **Data Engineer** with **5–6 years of experience** in designing, developing, and maintaining scalable data solutions. The ideal candidate should possess strong expertise in **Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development**. The candidate will play a key role in building robust data pipelines, processing large datasets, and supporting business-critical applications related to inventory optimization, master data management, and backend services.

### Key Responsibilities

-   Design, develop, and maintain scalable **ETL/ELT pipelines** for data ingestion and processing.
-   Build and optimize data workflows using **Apache Airflow**.
-   Develop and maintain data processing solutions using **Python**, **Pandas**, and **NumPy**.
-   Design and optimize complex **SQL queries** and data models in **BigQuery**.
-   Develop and integrate APIs to support data exchange between systems.
-   Implement data ingestion frameworks from various internal and external sources.
-   Perform data cleansing, transformation, and validation to ensure data accuracy and consistency.
-   Develop and maintain processes for **master data management**.
-   Support inventory optimization initiatives by implementing data processing and business logic.
-   Build and maintain backend services that enable data-driven applications.
-   Monitor and troubleshoot data pipelines to ensure reliability and performance.
-   Collaborate with cross-functional teams, including Product, Analytics, and Engineering teams.
-   Ensure adherence to data governance, security, and best practices.

## Requirements

### Technical Requirements

### Must-Have Skills

-   5–6 years of experience in Data Engineering or related roles.
-   Strong hands-on experience with:

-   **Python**
-   **Pandas**
-   **NumPy**
-   **Apache Airflow**
-   **Google BigQuery**
-   **SQL**
-   API development and integration

-   Experience in designing and implementing scalable **ETL/ELT pipelines**.
-   Strong understanding of data modeling, data transformation, and database concepts.
-   Experience working with large-scale datasets and optimizing query performance.
-   Proficiency with version control systems such as **Git**.

### Good-to-Have Skills

-   Experience with **PySpark** and distributed data processing.
-   Basic understanding of **Machine Learning concepts and workflows**.
-   Familiarity with **data quality frameworks** and data validation practices.
-   Experience with **Docker** and containerization technologies.
-   Knowledge of **CI/CD pipelines** and DevOps practices.
-   Experience working in cloud-based data environments.

### Preferred Qualifications

-   Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
-   Strong analytical and problem-solving skills.
-   Excellent communication and collaboration abilities.
-   Experience working on enterprise-scale data platforms and data-driven applications.